Database Developer Jobs

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job title Lead Data Management Grade 7 Stream Operated Assets Function Subsurface &amp; Operation 60&amp;48- Subsurface Data Management Location Oman - Muscat Budget control *OPEX and/or CAPEX and/or Revenue amount as relevant* Reporting to Manager Data Management Direct reports n/a Job purpose Provide strong technical support on Data Management at Upstream Operated Assets - Planning &amp; Performance, under Manager Data Management scope s, acting expert owner of Data Management standards, by:(1) Interface and lead the interactions with specialized vendors to receive, QC, store and publish the relevant Well, Log and Reservoir data, (2) Interface with Government to maintain the relevant databases; in order to support Planning &amp; Performance team to attain business goals, (3) Develop AI and machine learning tools to optimize cost and production and other critical streams, (4) Use data science to analyze the data and work closely with the subsurface and engineering technical teams on this analysis The position will act in accordance with the Group s Mission, Vision, Values &amp; Strategies, as well as, policies, guidelines, and international standards, supported by an IT Technology platform, HSE standards, Omani s government &amp; other legal justifications, and best international practices in consonance with national objectives. Main tasks and responsibilities Execute end-to-end process for the maintenance of all existing Subsurface Databases Execute end-to-end process for well and reservoir data in share drives Work with Vendors to receive, QC, store and publish the relevant Well, Log and Reservoir data Ensure and participate in the development and implementation of the upstream technical data operating model/data frameworks (i.e. governance, quality, etc.)/guidelines, roadmaps / data standards / best practices while maintaining the highest standards of data quality, accessibility, extraction and connectivity to the upstream Petro technical applications. Define and govern the data stewardship for the company upstream technical data to ensure compliance with data governance, enhance data quality and ensure clear accountability for stewardship of the company data assets. Participate in the development of the upstream technical data strategy, governance initiatives/activities (policies, procedures, structures, roles and responsibilities) to serve the upstream data users across OQEP and to maximize the upstream technical data full potential. Promote across the organization awareness of general data management principles through knowledge sharing channels like awareness sessions, training, etc. Develop and execute data science projects using machine learning and other data science analysis techniques Work with vendors on new technologies related to data analysis and AI Key interactions Internal: Upstream External: Specialized Contractors, Technical committees, Ministries Notable Working Conditions. Office environment, Moderate to intensive computer screen use.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor s degree in computer science/information technology/ or engineering preferably in subsurface discipline, postgraduate degree is preferable.</li><li>Excellent knowledge of written, read, and spoken English (required)</li><li>Arabic - Native (desirable)</li><li>8+ years of experience in information technology and relevant business disciplines</li><li>Experience in Document management applications like Documentum D2</li><li>Experience in WebGIS application</li><li>Experience in handling large data sets</li><li>Experience in handling live data sources</li><li>Experience in handling different data types</li><li>Experience with machine learning, neural networks and AI</li><li>Detail-oriented.</li><li>Interpersonal skills.</li><li>Reliable.</li><li>Problem-solving skills.</li><li>Organizational skills.</li><li>Strong written and verbal communication skills</li><li>Presentation skills.</li><li>Encourage engagement.</li><li>Be organized.</li><li>Interest in helping businesses and organizations succeed through innovation and fresh thinking.</li><li>Ability to easily digest and simplify complex concepts into easy-to-understand summaries.</li><li>A flexible attitude to work assignments.</li><li>Computer Literacy including MS Office</li><li>Experience in Python and/or other coding languages</li><li>Experience in managing large datasets</li><li>SAP experience is a Plus</li><li>APEX/SQL experience is a Plus</li><li>C++ and Java experience is a major plus</li><li>Experience Mobile APP development is major plus</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Développeur-euse Fullstack Java F/H</p><br><br><p>CDI</p><br><br><p>Ingénieur &amp; Cadre</p><br><br><p>Temps complet</p><br><br><p><br>Vous voyez un avion ? C'est simple, le groupe Safran fait tout dans l'avion, sauf l'avion !<br>Et nous, Safran Aircraft Engines, notre mission c'est de concevoir, produire et commercialiser nos moteurs tout en assurant leur support depuis plus de 110 ans ! La transformation digitale est un tremplin pour atteindre les challenges de la société et la DSI a une ambition : rendre tout cela possible.<br>Composée de plus de 500 collaborateurs la DSI est en pleine transformation pour soutenir sa croissance et relever les défis technologiques de demain.<br>Envie d'embarquer au sein de la Direction du Système d'Information ? C'est par ici !</p><br><br><p>Issu(e) d'une formation supérieure Bac+5 en Développement ou Gestion des Systèmes d'Information, vous disposez de solides connaissances en développement Web, notamment sur les technologies Java/Angular, ainsi qu'en outils de versioning tels que Gitlab CI.<br>Rigoureux(se), exigeant avec la qualité du code, autonome et dynamique, vous faites preuve d'un réel sens de l'engagement, de l'initiative et appréciez le travail en équipe dans un environnement technique en constante évolution.</p><br><br><p>Dans le cadre d'un processus de Transformation, la Direction du Système d'information de Safran Aircraft Engines internalise le développement Java, la maintenance et ainsi que l'amélioration de la productivité et l'agilité de l'entreprise.<br>Au sein de la Direction du Système d'information de Safran Aircraft Engines, vous participerez<br>à l'évolution du Framework de développement en contribuant à l'enrichissement de l'offre de service Usine Logiciel.<br>Votre mission principale consistera à participer à l‘évolution de l'offre de service Usine Logiciel au travers des actions suivantes :<br>- Apporter du support aux équipes projets,<br>- Participer à l'élaboration de composants standardisés,<br>- Relayer les bonne pratiques de développements (présentations, formation…),<br>- Participer à la mise en place de POC (Proof Of Concept) pour valider de nouvelles<br>fonctionnalités sur le cloud AWS.<br>Au sein de nos équipes projets vous participerez à :<br>- L'analyse et la rédaction des spécifications techniques<br>- La conception et le développement d'applications<br>Vous devrez également respecter les bonnes pratiques en place :<br>Normes de développement<br>Méthodologies agiles, Scrum, DevOps</p><br><br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The Data Governance &amp; Reporting Specialist is responsible for ensuring high-quality, governed, and actionable data across the organization. This role combines data governance, data quality, and reporting capabilities to support regulatory, operational, and strategic decision-making.</p><p>Key Responsibilities</p><p>Data Governance &amp; Compliance</p><ul><li>Support implementation of data governance framework, policies and standards</li><li>Ensure compliance with regulatory requirements (PDPL, DOH, CBUAE)</li><li>Maintain governance documentation and data standards</li><li>Act as liaison between Data, IT and business stakeholders</li></ul><p>Data Quality Management</p><ul><li>Develop and monitor data quality rules and controls</li><li>Track data issues and remediation actions</li><li>Ensure data accuracy for reporting and analytics</li></ul><p>Reporting &amp; Analytics</p><ul><li>Develop dashboards and reports using Power BI</li><li>Provide insights across claims, underwriting and operations</li><li>Enable self-service reporting capabilities</li></ul><p>Data Products &amp; Insights</p><ul><li>Build governed datasets such as Customer 360 and claims dashboards</li><li>Support fraud detection and operational monitoring use cases</li></ul><p>Data Integration &amp; Architecture</p><ul><li>Document data lineage and transformations</li><li>Validate ETL processes and data reconciliations</li></ul><p>Stakeholder Collaboration</p><ul><li>Work with business teams to define KPIs and data requirements</li><li>Drive data-driven decision making</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"><b>Qualifications &amp; Experience</b></p><ul><li>Bachelor s degree in Data Science, Computer Science, Statistics or related field.</li><li>5+ years experience in data governance, data quality or reporting roles.</li><li>Experience in insurance or financial services preferred.</li></ul><b>Technical Skills</b><ul><li>SQL, Power BI</li><li>Python/R (preferred)</li><li>Data governance and data quality tools (Collibra, Talend, etc.)</li><li>Understanding of data governance frameworks (DAMA, DCAM)</li></ul><b>Soft Skills</b><ul><li>Strong analytical and problem-solving skills</li><li>Stakeholder management and communication</li><li>Documentation and process design</li><li>Highly structured and organized, with strong attention to details</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br><strong><u>The Opportunity</u></strong><br> <br> <p><span>The Data Governance &amp; Reporting Specialist is responsible for ensuring high-quality, governed, and actionable data across the organization. This role combines data governance, data quality, and reporting capabilities to support regulatory, operational, and strategic decision-making.</span></p><br><br> <br> <br><strong><u>Key Responsibilities</u></strong><br> <br> <p><span>Data Governance &amp; Compliance</span></p><br><br><ul><li><span>Support implementation of data governance framework, policies and standards</span></li><li><span>Ensure compliance with regulatory requirements (PDPL, DOH, CBUAE)</span></li><li><span>Maintain governance documentation and data standards</span></li><li><span>Act as liaison between Data, IT and business stakeholders<br></span></li></ul><br><p><span>Data Quality Management</span></p><br><br><ul><li><span>Develop and monitor data quality rules and controls</span></li><li><span>Track data issues and remediation actions</span></li><li><span>Ensure data accuracy for reporting and analytics</span></li></ul><br><p><span>Reporting &amp; Analytics</span></p><br><br><ul><li><span>Develop dashboards and reports using Power BI</span></li><li><span>Provide insights across claims, underwriting and operations</span></li><li><span>Enable self-service reporting capabilities</span></li></ul><br><p><span>Data Products &amp; Insights</span></p><br><br><ul><li><span>Build governed datasets such as Customer 360 and claims dashboards</span></li><li><span>Support fraud detection and operational monitoring use cases</span></li></ul><br><p><span>Data Integration &amp; Architecture</span></p><br><br><ul><li><span>Document data lineage and transformations</span></li><li><span>Validate ETL processes and data reconciliations</span></li></ul><br><p><span>Stakeholder Collaboration</span></p><br><br><ul><li><span>Work with business teams to define KPIs and data requirements</span></li><li><span>Drive data-driven decision making</span></li></ul><br> <br> <br><strong><u>Required Qualifications</u></strong><br> <br> <ul><li>Bachelor’s degree in Data Science, Computer Science, Statistics or related field.<br></li><li>5+ years experience in data governance, data quality or reporting roles.<br></li><li>Experience in insurance or financial services preferred.<br></li></ul><br>Technical Skills<br><ul><li>SQL, Power BI<br></li><li>Python/R (preferred)<br></li><li>Data governance and data quality tools (Collibra, Talend, etc.)<br></li><li>Understanding of data governance frameworks (DAMA, DCAM)<br></li></ul><br>Soft Skills<br><ul><li>Strong analytical and problem-solving skills<br></li><li>Stakeholder management and communication<br></li><li>Documentation and process design<br></li><li>Highly structured and organized, with strong attention to details<br></li></ul> <br> <br><strong><u>Preferred Qualifications</u></strong><br> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br><p><span><strong><span>Data Governance &amp; Reporting Specialist</span></strong></span></p><br><br><br><p><span>The Data Governance &amp; Reporting Specialist is responsible for ensuring high-quality, governed, and actionable data across the organization. This role combines data governance, data quality, and reporting capabilities to support regulatory, operational, and strategic decision-making.</span></p><br><br><span>Key Responsibilities</span><span>Data Governance &amp; Compliance</span><p><span><span>·Support implementation of data governance framework, policies and standards</span></span></p><br><br><p><span><span>·Ensure compliance with regulatory requirements (PDPL, DOH, CBUAE)</span></span></p><br><br><p><span><span>·Maintain governance documentation and data standards</span></span></p><br><br><p><span><span>·Act as liaison between Data, IT and business stakeholders</span></span></p><br><br><span>Data Quality Management</span><p><span><span>·Develop and monitor data quality rules and controls</span></span></p><br><br><p><span><span>·Track data issues and remediation actions</span></span></p><br><br><p><span><span>·Ensure data accuracy for reporting and analytics</span></span></p><br><br><span>Reporting &amp; Analytics</span><p><span><span>·Develop dashboards and reports using Power BI</span></span></p><br><br><p><span><span>·Provide insights across claims, underwriting and operations</span></span></p><br><br><p><span><span>·Enable self-service reporting capabilities</span></span></p><br><br><span>Data Products &amp; Insights</span><p><span><span>·Build governed datasets such as Customer 360 and claims dashboards</span></span></p><br><br><p><span><span>·Support fraud detection and operational monitoring use cases</span></span></p><br><br><span>Data Integration &amp; Architecture</span><p><span><span>·Document data lineage and transformations</span></span></p><br><br><p><span><span>·Validate ETL processes and data reconciliations</span></span></p><br><br><span>Stakeholder Collaboration</span><p><span><span>·Work with business teams to define KPIs and data requirements</span></span></p><br><br><p><span><span>·Drive data-driven decision making</span></span></p><br><br><span>Qualifications &amp; Experience</span><p><span>Bachelor’s degree in Data Science, Computer Science, Statistics or related field.</span></p><br><br><p><span>5+ years experience in data governance, data quality or reporting roles.</span></p><br><br><p><span>Experience in insurance or financial services preferred.</span></p><br><br><span>Technical Skills</span><p><span><span>·SQL, Power BI</span></span></p><br><br><p><span><span>·Python/R (preferred)</span></span></p><br><br><p><span><span>·Data governance and data quality tools (Collibra, Talend, etc.)</span></span></p><br><br><p><span><span>·Understanding of data governance frameworks (DAMA, DCAM)</span></span></p><br><br><span>Soft Skills</span><p><span><span>·Strong analytical and problem-solving skills</span></span></p><br><br><p><span><span>·Stakeholder management and communication</span></span></p><br><br><p><span><span>·Documentation and process design</span></span></p><br><br><p><span><span>·</span><span>Highly structured and organized, with strong attention to details</span></span></p><br><br><br> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Data Leader Qualité F/H</p><br><br><p>CDI</p><br><br><p>Ingénieur &amp; Cadre</p><br><br><p>Temps complet</p><br><br><p>Vous cherchez une opportunité de rejoindre un secteur en pleine croissance et en constante évolution, ce poste vous permettra d'exercer vos talents.<br>Nous recherchons un Digital Leader Qualité (data et IA) afin d'améliorer notre exploitation des données qualité et accélérer la transformation digitale de nos modes de fonctionnement du réseau qualité Support et Services, pour cela l'objectif est de:<br>- Rendre les données qualité plus facilement accessibles et exploitables dans un format et un cadre pertinents.<br>- Développer/accompagner le développement des solutions d'IA prédictive pour anticiper les risques qualité<br>- Optimiser les temps de traitement des événements qualité par l'automatisation/digitalisation<br>- Permettre des synthèses rapides pour aider les équipes opérationnelles dans l'analyse et la prise de décision<br>- Contribuer à la sécurité aérienne en remontant les écarts et interrogations et en faisant respecter les fondamentaux de la qualité <br>A ce titre, vous aurez la responsabilité de :<br>1. Piloter la roadmap Data de la direction Qualité Support, Services <br>- Animer des workshops de priorisation et de déploiement des chantiers Data<br>- Contribuer, voire animer et piloter les chantiers IA et data sur la thématique qualité (train Agile qualité)<br>2. Mettre en place la gouvernance des données et les actions de progrès associées :<br>- Concevoir et animer le plan de progrès du Management des données et en piloter la maturité <br>- Structurer le patrimoine/catalogage des données qualité (cartographie, modèle de données, règles, standards)<br>- En particulier, contribuer à la gouvernance, définition et exploitation des données du réseau qualité Support et Services <br>- Mettre en œuvre les meilleures pratiques en matière de gestion des données<br>- Implémenter les règles de sécurité et compliance (RGPD, export control)<br>- Construire le plan de surveillance de la donnée (données clefs et propriétaires des données, exigences de qualité). Assurer la qualité et l'intégrité des données.<br>3. Reporting et communication :<br>- Produire ou permettre des synthèses pour aider les équipes de la Direction, dans l'analyse et la prise de décision<br>- Améliorer et/ou concevoir des outils simples et ergonomiques (Tableaux de bord PBI, …) pour le pilotage temps réel des sujets qualité<br>- Contribuer à la stratégie Data de la direction Qualité, Progrès et Transformation Digitale et de l'entreprise</p><br><br><p>-</p><br><br><p>- Compétences en gestion et analyse de données<br>- Capacité à comprendre et à interpréter des données techniques<br>- Appétence pour la résolution de problèmes<br>- Compréhension de la façon dont les données sont utilisées par les métiers et les impacts de la donnée sur la capacité du métier à tenir ses objectifs<br>- Connaissance des procédures sur la sécurité des données et des règlementations en vigueur (export control, RGPD) et un sens de l'éthique prononcé<br>- Capacité d'analyse et synthèse<br>- Esprit d'innovation, force de proposition et prise d'initiative<br>- Autonomie, organisation et rigueur<br>- Très bon relationnel, esprit d'équipe et capacité à convaincre et embarquer<br>- Maitrise de l'anglais</p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br><strong><u>The Opportunity</u></strong><br> <br> <p><span>The Data Insights Analyst is a senior responsible for transforming governed data into actionable business insights and regulatory reporting outputs. This role combines advanced analytics, regulatory reporting expertise, data governance, data quality oversight and deliver trusted, timely, and business-relevant outcomes.</span></p><br><br> <br> <br><strong><u>Key Responsibilities</u></strong><br> <br> <span>Insights &amp; Advanced Analytics (Primary Focus)</span><ul><li><span>Lead advanced analytical insights across claims, underwriting, operations, and customer experience</span></li><li><span>Translate complex datasets into business narratives and actionable recommendations</span></li><li><span>Perform deep-dive analysis on claims leakage, cost drivers, and operational inefficiencies</span></li><li><span>Identify trends, risks, and opportunities to support strategic decision-making</span></li><li><span>Partner with business leaders to proactively shape data-driven strategies</span></li></ul><br><span>Regulatory Reporting &amp; Data Readiness</span><ul><li><span>Own end-to-end data preparation and validation for regulatory reporting (DOH, DHA, CBUAE)</span></li><li><span>Ensure data completeness, accuracy, and reconciliation</span></li><li><span>Investigate and explain data variances across reports</span></li><li><span>Ensure audit-ready datasets and reporting controls</span></li><li><span>Enhance regulatory reporting frameworks and standards</span></li></ul><br><span>Data Governance &amp; Quality Oversight</span><ul><li><span>Act as senior data steward for critical data elements</span></li><li><span>Ensure adherence to data governance policies and standards</span></li><li><span>Define and monitor data quality rules and KPIs</span></li><li><span>Lead root cause analysis and resolution of complex data issues</span></li></ul><br><span>Reporting &amp; Data Products</span><ul><li><span>Design executive dashboards and reports using Power BI</span></li><li><span>Develop reusable data assets such as claims dashboards and customer datasets</span></li><li><span>Enable self-service reporting using governed datasets</span></li></ul><br><span>Stakeholder Engagement</span><ul><li><span>Act as trusted advisor to business stakeholders</span></li><li><span>Translate business challenges into data-driven insights</span></li><li><span>Influence decision-making through clear storytelling and executive reporting</span></li></ul><br> <br> <br><strong><u>Required Qualifications</u></strong><br> <br> <ul><li><span>Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science or related field5+ years experience in data analytics, or regulatory reporting</span></li></ul><ul><li><span>Advanced SQL</span></li><li><span>Power BI reporting</span></li><li><span>Data modeling and ETL understanding</span></li><li><span>Knowledge of data governance frameworks (DAMA, DCAM) is a plus</span></li><li><span>Strong analytical and problem-solving skills</span></li><li><span>Ability to translate data into business insights</span></li><li><span>Stakeholder management and communication</span></li><li><span>Strong documentation and governance mindset</span></li></ul><br> <br> <br><strong><u>Preferred Qualifications</u></strong><br> <br> <ul><li><span>Experience within the health insurance, healthcare payer, or financial services industry.</span></li><li><span>Proven ability to present complex analytical findings to senior leadership through compelling data storytelling.</span></li><li><span>Strong project management skills with experience leading cross-functional data initiatives.</span></li></ul> <br><br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Nationality"> <b>Nationality</b> </div> <div class="col is-9 p5" data-automation-id="data_Nationality"> Oman </div> </div>

<p>INTRODUCTION TO GGGI The Global Green Growth Institute (GGGI) is a treaty-based international, inter-governmental organization dedicated to supporting and promoting strong, inclusive and sustainable economic growth in developing countries and emerging economies. To learn more please visit about GGGI web page. In the Sultanate of Oman, GGGI has partnered with the Government through the leadership of the Environment Authority (EA) to develop the "Accelerating Resilience and Innovation for Sustainable Ecosystems management" (ARISE) Program . The ARISE Program is a USD 100 million initiative spanning six years, designed to deliver climate action, ecosystem restoration, and economic growth through Nature-based Solutions (NbS) integrated into the Bioeconomy and Sustainable Special Economic Zones (SSEZs) . The program ultimately targets the restoration of 30,000 hectares of land, an estimated 750,000 tCO2e/year in greenhouse gas emission reductions, and the creation of over 1,000 green jobs. The implementation of the ARISE Program is structured around two phases. Phase 1 will cover 2 years, and Phase 2 will be over 4 years. The funding has been approved for Phase 1.</p><p>POSITION SUMMARY Based in Salalah, in Dhofar Governorate, Oman, the MEL &amp; Data Officer plays a key role as the MEL focal point for the Oman ARISE Program. Reporting directly to the ARISE Program Lead, this position supports the on-the-ground delivery of the multi-year program s results framework. The Officer will work in close collaboration with the Regional MEL Senior Officer for the Middle East and North Africa (MENA) to implement GGGI s organizational-wide MEL framework at the program level. This role involves coordinating MEL implementation, data collection, analysis, and visualization, learning &amp; reporting following the comprehensive MEL plan for ARISE, including supporting baseline assessments such as Knowledge, Aptitude, and Practices (KAP) surveys and ecological data tracking. Additionally, the Officer will collaborate with the Program Implementation Unit (PIU) to create tailored MEL tools, assist in internal and external reporting, and contribute to the capacity of local partners and government stakeholders.</p><p>PURPOSE • Coordinate the implementation and periodic review of MEL framework and MEL Plan specifically for the Oman ARISE Program, ensuring alignment with overall program objectives and GGGI s global MEL standards. • Support updates to the Theory of Change (TOC) and Detailed Implementation Plan (DIP) based on field validations and data collection. • Coordinate and execute formal baseline assessments including integrating GIS spatial data, GHG emission tracking, and socio-economic data within the first months of the inception phase. • Collaborate with the Program Lead and technical experts to design tailored mobile data collection tools and dashboards that effectively monitor and evaluate program outputs and outcomes. • Compile lessons learned and best practices to refine the program s adaptive management strategies.</p><p>ENGAGEMENT • Collaborate with program team members to design, test, and implement tailored MEL and data collection tools that effectively monitor and evaluate community-level project activities. • Maintain close communication with the RO-MENA and collaborates closely with the Regional MEL Senior Officer (MENA) to ensure adherence and contribute to GGGI s Project/Program Cycle Management (PCM) guidelines and MEL methodologies. • Engage actively with key Omani government stakeholders, including the Environment Authority (EA), the National Centre for Statistics and Information (NCSI), and the Oman Zero Carbon Center, to align program MRV methodologies with national tracking systems and NDCs. • Partner with local academic institutions, primarily the Dhofar University Biodiversity Research Center (BRC), to execute randomized field surveys, focus group discussions, and ecological data triangulation.</p><p>DELIVERY • Coordinate and support mixed-methods baseline assessments, including large-scale KAP surveys targeting Dhofar communities, ensuring high-quality data collection following statistically valid random sampling frameworks. [JY1] • Compile and analyze secondary data analysis using historical government records, GIS mapping platforms, and localized emission factors to establish accurate Zero-Point Baselines for rangeland degradation and GHG emissions. • Clean, process, and analyze complex quantitative and qualitative datasets, utilizing data visualization to regularly produce stakeholder-friendly update briefs to [JY2] [JY3] support evidence-based decision-making for the Program Steering Committee (PSC) and Program Management Committee (PMC).Develop [JY4] [JY5] the official ARISE Program MEL Plan and is data collection mechanisms to monitor and measure the program s progress against environmental and socioeconomic performance indicators and Ensure all the program data is collected on time on the GGGI Online.. • Maintain internal project reporting, including tracking the 750,000 tCO2e/year emission reduction and 30,000 ha restoration targets via GGGI Online (GO). • Program and deploy mobile data collection tools (e.g., Open Data Kit, MS forms, Google survey, Kobo Toolbox, Ona) utilizing XLS form-building. • Prepare Annual End-Of-Year-Results (EOYR) reports, impact case studies, and donor progress reports in a timely and highly professional manner. • Ensure the preparation, accuracy and timely submission of monitoring reports.</p><p>WORKING CONDITIONS The MEL &amp; Data Officer is an G8NAT grade level in GGGI's national salary scale, details of which can be found in the GGGI Staff Rules on GGGI s website. In addition, GGGI provides 27 days of annual leave, flexible work arrangements and contribution towards private health insurance that covers dental and vision. GGGI is committed to providing a work environment that is sufficiently flexible to accommodate diverse life-cycle challenges and assist Staff members to achieve a better balance between work commitments and personal and family commitments, thus ensuring high performance, long-term productivity and well-being of Staff members. For more information on GGGI's terms and conditions (allowances, health care, education etc.) please familiarize yourself with GGGI's Rules and Regulations that can be found here: https://gggi.org/policy-documents/. Child protection GGGI is committed to child protection, irrespective of whether any specific area of work involves direct contact with children. GGGI s Child Protection Policy is written in accordance with the Convention on the Rights of the Child.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Master's degree or equivalent in economics, statistics, data science, environmental science, development studies, or a related field.</li><li>A minimum of 5 years of professional experience in monitoring and evaluation, data analysis, and program development for large-scale international development or climate finance projects.</li><li>Demonstrated expertise in quantitative and qualitative data analysis software (e.g., R, Python, MAXQDA) and advanced Microsoft Excel (VBA).</li><li>Proven experience utilizing mobile data collection platforms (Kobo Toolbox, Ona, etc.) and developing user-friendly digital survey forms.</li><li>Exceptional analytical, writing, and presentation skills in English are required.</li><li>Fluency in Arabic is an asset for this role and is highly desirable.</li></ul><p><strong>FUNCTIONAL COMPETENCIES</strong></p><ul><li>Strong written and verbal communication skills in English; ability to draft high-quality MEL frameworks, evaluation reports, and technical documents.</li><li>Strong project management and coordination skills, including experience working with governments (e.g., Environment Authority), development partners, and technical experts.</li><li>Ability to interpret technical analysis, GIS mapping, and GHG modeling outputs and translate them into actionable MEL insights and policy-level reporting.</li><li>Strong background in developing complex logframes and impact tracking mechanisms, particularly for climate change, agriculture, or Nature-based Solutions (NbS).</li><li>Ability to coordinate consultants, enumerators, and data collection activities across multiple stakeholders without direct line management authority.</li><li>Strong organizational skills and attention to detail, with the ability to manage competing priorities and meet deadlines in a time-sensitive environment.</li><li>Solutions-oriented and collaborative approach to problem solving in a multi-stakeholder setting.</li></ul><p><strong>CORPORATE</strong></p><ul><li>Understand and actively support GGGI's mission, vision and values.</li><li>Promote an organizational culture of trust, transparency, respect and partnership.</li><li>Excel at problem solving, ask questions and seek support when needed, share easily information and knowledge with others both internally as externally.</li><li>Manage emotions and stress positively, build rapport and resolves conflict easily.</li><li>Strong ability to work independently and/or remotely, while maintaining productivity.</li></ul>

<p><h4>Description</h4> <p>We are seeking a highly motivated market data application support to join our client's IT team in Muscat. This role is responsible for managing, governing, and optimising the bank’s market data services across all business units.</p> <p>You will play a critical role in ensuring market data is accurately sourced, cost-efficiently managed, and used in full compliance with vendor licensing agreements. This is an excellent opportunity to work closely with leading global data providers and contribute to enterprise-wide data strategy and transformation initiatives.</p> <h4>Key responsibilities</h4> <p><strong>Market data vendor & contract management</strong><br> Act as the primary relationship owner for global market data vendors (e.g. Bloomberg, Refinitiv, exchanges, rating agencies, and news providers)<br> Manage vendor contracts, renewals, amendments, and licensing agreements<br> Oversee subscriptions, user access, entitlements, and permissions</p> <p><strong>Data quality, compliance & governance</strong><br> Monitor and ensure the integrity, availability, and accuracy of market data<br> Ensure compliance with vendor licensing terms and usage policies<br> Track user consumption and proactively align usage with entitled services<br> Support and coordinate vendor audits and remediation activities<br> Identify opportunities to optimise costs and licensing structures</p> <p><strong>Platform & feed management</strong><br> Administer enterprise market data platforms (e.g. Bloomberg B-PIPE, BDL, Refinitiv EMS)<br> Lead onboarding of new data feeds and services in collaboration with internal teams and vendors<br> Produce and maintain accurate usage and compliance reporting</p> <p><strong>Controls & optimisation</strong><br> Conduct periodic reviews and recertification of market data services<br> Identify unused or underutilised subscriptions and implement optimisation plans<br> Drive continuous improvement in data governance and cost efficiency</p> <p><strong>Projects & documentation</strong><br> Support key technology and transformation initiatives (CTB/RTB), including system implementations<br> Maintain clear documentation, knowledge base materials, and user guidance for market data services</p> <h4>Requirements</h4> <li>Bachelor's degree in finance, economics, banking, mathematics, statistics, computer science, information systems, data analytics, or a related discipline.</li> <li>Postgraduate qualification in finance, financial engineering, or data analytics is an advantage.</li> <li>Minimum 4 years of relevant experience in market data, financial markets, or banking IT.</li> <li>Solid knowledge of primary market data providers and their key services, including Bloomberg (B-Pipe, BDL, Terminal), Refinitiv (EMS, DSS, Eikon), and Quanthouse.</li> <li>Sound understanding of financial markets, exchange operations, primary financial instruments, and key index types.</li> <li>Demonstrated experience in large-scale IT projects and system implementations is an advantage.</li> <h4>Benefits</h4> <p>Contract until the end of the year.<br> Salary to be discussed.</p></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are seeking a highly motivated Market Data Application Support to join our client's IT team in Muscat.<br> This role is responsible for managing, governing, and optimising the Bank’s market data services across all business units.<br> You will play a critical role in ensuring market data is accurately sourced, cost-efficiently managed, and used in full compliance with vendor licensing agreements.<br> This is an excellent opportunity to work closely with leading global data providers and contribute to enterprise-wide data strategy and transformation initiatives.<br> Key Responsibilities Market Data Vendor &amp; Contract Management Act as the primary relationship owner for global market data vendors (e.<br>g. Bloomberg, Refinitiv, exchanges, rating agencies, and news providers) Manage vendor contracts, renewals, amendments, and licensing agreements Oversee subscriptions, user access, entitlements, and permissions Data Quality, Compliance &amp; Governance Monitor and ensure the integrity, availability, and accuracy of market data Ensure compliance with vendor licensing terms and usage policies Track user consumption and proactively align usage with entitled services Support and coordinate vendor audits and remediation activities Identify opportunities to optimise costs and licensing structures Platform &amp; Feed Management Administer enterprise market data platforms (e.<br>g. Bloomberg B-PIPE, BDL, Refinitiv EMS) Lead onboarding of new data feeds and services in collaboration with internal teams and vendors Produce and maintain accurate usage and compliance reporting Controls &amp; Optimisation Conduct periodic reviews and recertification of market data services Identify unused or underutilised subscriptions and implement optimisation plans Drive continuous improvement in data governance and cost efficiency Projects &amp; Documentation Support key technology and transformation initiatives (CTB/RTB), including system implementations Maintain clear documentation, knowledge base materials, and user guidance for market data services Contract until the end of the year.<br> Salary to be discussed.<br> Bachelor's degree in Finance, Economics, Banking, Mathematics, Statistics, Computer Science, Information Systems, Data Analytics, or a related discipline.<br> Postgraduate qualification in Finance, Financial Engineering, or Data Analytics is an advantage.<br> Minimum 4 years of relevant experience in market data, financial markets, or banking IT.<br> Solid knowledge of primary market data providers and their key services, including Bloomberg (B-Pipe, BDL, Terminal), Refinitiv (EMS, DSS, Eikon), and Quanthouse.<br> Sound understanding of financial markets, exchange operations, primary financial instruments, and key index types.<br> Demonstrated experience in large-scale IT projects and system implementations is an advantage.<br></span> </div>

<p><h4>Description</h4> <p>We are seeking a highly motivated market data specialist to join our client's IT team in Muscat. This role is responsible for managing, governing, and optimising the bank’s market data services across all business units.</p> <p>You will play a critical role in ensuring market data is accurately sourced, cost-efficiently managed, and used in full compliance with vendor licensing agreements. This is an excellent opportunity to work closely with leading global data providers and contribute to enterprise-wide data strategy and transformation initiatives.</p> <h4>Key responsibilities</h4> <p><strong>Market data vendor & contract management</strong><br> Act as the primary relationship owner for global market data vendors (e.g. Bloomberg, Refinitiv, exchanges, rating agencies, and news providers)<br> Manage vendor contracts, renewals, amendments, and licensing agreements<br> Oversee subscriptions, user access, entitlements, and permissions</p> <p><strong>Data quality, compliance & governance</strong><br> Monitor and ensure the integrity, availability, and accuracy of market data<br> Ensure compliance with vendor licensing terms and usage policies<br> Track user consumption and proactively align usage with entitled services<br> Support and coordinate vendor audits and remediation activities<br> Identify opportunities to optimise costs and licensing structures</p> <p><strong>Platform & feed management</strong><br> Administer enterprise market data platforms (e.g. Bloomberg B-PIPE, BDL, Refinitiv EMS)<br> Lead onboarding of new data feeds and services in collaboration with internal teams and vendors<br> Produce and maintain accurate usage and compliance reporting</p> <p><strong>Controls & optimisation</strong><br> Conduct periodic reviews and recertification of market data services<br> Identify unused or underutilised subscriptions and implement optimisation plans<br> Drive continuous improvement in data governance and cost efficiency</p> <p><strong>Projects & documentation</strong><br> Support key technology and transformation initiatives (CTB/RTB), including system implementations<br> Maintain clear documentation, knowledge base materials, and user guidance for market data services</p> <h4>Requirements</h4> <ul> <li>Bachelor's degree in finance, economics, banking, mathematics, statistics, computer science, information systems, data analytics, or a related discipline.</li> <li>Postgraduate qualification in finance, financial engineering, or data analytics is an advantage.</li> <li>Minimum 4 years of relevant experience in market data, financial markets, or banking IT.</li> <li>Solid knowledge of primary market data providers and their key services, including Bloomberg (B-Pipe, BDL, Terminal), Refinitiv (EMS, DSS, Eikon), and Quanthouse.</li> <li>Sound understanding of financial markets, exchange operations, primary financial instruments, and key index types.</li> <li>Demonstrated experience in large-scale IT projects and system implementations is an advantage.</li> </ul> <h4>Benefits</h4> <p>Contract until the end of the year.<br> Salary to be discussed.</p></p><p></p>

<p><h4>Description</h4> <p>We are seeking a highly motivated market data specialist to join our client's IT team in Muscat. This role is responsible for managing, governing, and optimising the bank’s market data services across all business units.</p> <p>You will play a critical role in ensuring market data is accurately sourced, cost-efficiently managed, and used in full compliance with vendor licensing agreements. This is an excellent opportunity to work closely with leading global data providers and contribute to enterprise-wide data strategy and transformation initiatives.</p> <h4>Key responsibilities</h4> <p><strong>Market data vendor & contract management</strong><br> Act as the primary relationship owner for global market data vendors (e.g. Bloomberg, Refinitiv, exchanges, rating agencies, and news providers)<br> Manage vendor contracts, renewals, amendments, and licensing agreements<br> Oversee subscriptions, user access, entitlements, and permissions</p> <p><strong>Data quality, compliance & governance</strong><br> Monitor and ensure the integrity, availability, and accuracy of market data<br> Ensure compliance with vendor licensing terms and usage policies<br> Track user consumption and proactively align usage with entitled services<br> Support and coordinate vendor audits and remediation activities<br> Identify opportunities to optimise costs and licensing structures</p> <p><strong>Platform & feed management</strong><br> Administer enterprise market data platforms (e.g. Bloomberg B-PIPE, BDL, Refinitiv EMS)<br> Lead onboarding of new data feeds and services in collaboration with internal teams and vendors<br> Produce and maintain accurate usage and compliance reporting</p> <p><strong>Controls & optimisation</strong><br> Conduct periodic reviews and recertification of market data services<br> Identify unused or underutilised subscriptions and implement optimisation plans<br> Drive continuous improvement in data governance and cost efficiency</p> <p><strong>Projects & documentation</strong><br> Support key technology and transformation initiatives (CTB/RTB), including system implementations<br> Maintain clear documentation, knowledge base materials, and user guidance for market data services</p> <h4>Requirements</h4> <ul> <li>Bachelor's degree in finance, economics, banking, mathematics, statistics, computer science, information systems, data analytics, or a related discipline.</li> <li>Postgraduate qualification in finance, financial engineering, or data analytics is an advantage.</li> <li>Minimum 4 years of relevant experience in market data, financial markets, or banking IT.</li> <li>Solid knowledge of primary market data providers and their key services, including Bloomberg (B-Pipe, BDL, Terminal), Refinitiv (EMS, DSS, Eikon), and Quanthouse.</li> <li>Sound understanding of financial markets, exchange operations, primary financial instruments, and key index types.</li> <li>Demonstrated experience in large-scale IT projects and system implementations is an advantage.</li> </ul> <h4>Benefits</h4> <p>Contract until the end of the year.<br> Salary to be discussed.</p></p><p></p>

<p><h4>Description</h4> <p>We are seeking a highly motivated market data application support to join our client's IT team in Muscat. This role is responsible for managing, governing, and optimising the bank’s market data services across all business units.</p> <p>You will play a critical role in ensuring market data is accurately sourced, cost-efficiently managed, and used in full compliance with vendor licensing agreements. This is an excellent opportunity to work closely with leading global data providers and contribute to enterprise-wide data strategy and transformation initiatives.</p> <h4>Key responsibilities</h4> <p><strong>Market data vendor & contract management</strong><br> Act as the primary relationship owner for global market data vendors (e.g. Bloomberg, Refinitiv, exchanges, rating agencies, and news providers)<br> Manage vendor contracts, renewals, amendments, and licensing agreements<br> Oversee subscriptions, user access, entitlements, and permissions</p> <p><strong>Data quality, compliance & governance</strong><br> Monitor and ensure the integrity, availability, and accuracy of market data<br> Ensure compliance with vendor licensing terms and usage policies<br> Track user consumption and proactively align usage with entitled services<br> Support and coordinate vendor audits and remediation activities<br> Identify opportunities to optimise costs and licensing structures</p> <p><strong>Platform & feed management</strong><br> Administer enterprise market data platforms (e.g. Bloomberg B-PIPE, BDL, Refinitiv EMS)<br> Lead onboarding of new data feeds and services in collaboration with internal teams and vendors<br> Produce and maintain accurate usage and compliance reporting</p> <p><strong>Controls & optimisation</strong><br> Conduct periodic reviews and recertification of market data services<br> Identify unused or underutilised subscriptions and implement optimisation plans<br> Drive continuous improvement in data governance and cost efficiency</p> <p><strong>Projects & documentation</strong><br> Support key technology and transformation initiatives (CTB/RTB), including system implementations<br> Maintain clear documentation, knowledge base materials, and user guidance for market data services</p> <h4>Requirements</h4> <li>Bachelor's degree in finance, economics, banking, mathematics, statistics, computer science, information systems, data analytics, or a related discipline.</li> <li>Postgraduate qualification in finance, financial engineering, or data analytics is an advantage.</li> <li>Minimum 4 years of relevant experience in market data, financial markets, or banking IT.</li> <li>Solid knowledge of primary market data providers and their key services, including Bloomberg (B-Pipe, BDL, Terminal), Refinitiv (EMS, DSS, Eikon), and Quanthouse.</li> <li>Sound understanding of financial markets, exchange operations, primary financial instruments, and key index types.</li> <li>Demonstrated experience in large-scale IT projects and system implementations is an advantage.</li> <h4>Benefits</h4> <p>Contract until the end of the year.<br> Salary to be discussed.</p></p><p></p>

<p><h4>Description</h4> <p>Mindrift is looking for highly skilled senior python data scraping engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</p> <p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <p>This is a freelance role for a Tendem project. As a senior python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <h4>Key responsibilities:</h4> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> <h4>Requirements:</h4> <li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li> <li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li> <li>Strong experience in python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li> <li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li> <li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>A link to GitHub is a plus.</li> <li>English proficiency: upper-intermediate (B2) or above (required).</li> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<p><h4>Description</h4> <p>Mindrift is looking for highly skilled senior python data scraping engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</p> <p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <p>This is a freelance role for a Tendem project. As a senior python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <h4>Key responsibilities:</h4> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> <h4>Requirements:</h4> <li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li> <li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li> <li>Strong experience in python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li> <li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li> <li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>A link to GitHub is a plus.</li> <li>English proficiency: upper-intermediate (B2) or above (required).</li> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Mindrift is looking for highly skilled senior python data scraping engineers to join the tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</h4> <p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <p>This is a freelance role for a Tendem project. As a senior python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <h4>Key responsibilities:</h4> <ul> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> </ul> <h4>Requirements:</h4> <ul> <li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li> <li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li> <li>Strong experience in python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li> <li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li> <li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>English proficiency: Upper-intermediate (B2) or above (required).</li> </ul> <p>A link to GitHub is a plus.</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Mindrift is looking for highly skilled senior Python data scraping engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</p> <p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <p>This is a freelance role for a Tendem project. As a senior Python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <h4>Key responsibilities:</h4> <ul> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> </ul> <h4>Requirements:</h4> <ul> <li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li> <li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li> <li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li> <li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li> <li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>A link to GitHub is a plus.</li> <li>English proficiency: Upper-intermediate (B2) or above (required).</li> </ul> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Mindrift is looking for highly skilled senior python data scraping engineers to join the tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</h4> <p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <p>This is a freelance role for a Tendem project. As a senior python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <h4>Key responsibilities:</h4> <ul> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> </ul> <h4>Requirements:</h4> <ul> <li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li> <li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li> <li>Strong experience in python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li> <li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li> <li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>English proficiency: Upper-intermediate (B2) or above (required).</li> </ul> <p>A link to GitHub is a plus.</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Mindrift is looking for highly skilled senior Python data scraping engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</p> <p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <p>This is a freelance role for a Tendem project. As a senior Python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <h4>Key responsibilities:</h4> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> <h4>Requirements:</h4> <li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li> <li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li> <li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li> <li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li> <li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>A link to GitHub is a plus.</li> <li>English proficiency: Upper-intermediate (B2) or above (required).</li> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>