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<p>1. Fleet &amp; Rider Management: Monitor daily rider performance, manage shift rosters, coordinate breaks, and optimize zone allocations. 2. KPI Tracking: Track, document, and report on core logistics metrics like delivery times, order cancellations, and service level agreements (SLAs). 3. Compliance &amp; Quality: Audit rider appearance, professional conduct, and equipment usage via field checks and data analysis. 4. Onboarding &amp; Training: Supervise local rider onboarding schedules and support ongoing operational training.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Key Responsibilities</p><ul><li>Communicate with overseas recruitment agencies.</li><li>Follow up on the status of booked workers.</li><li>Update worker arrival and commission records.</li><li>Coordinate with overseas recruitment agencies.</li><li>Perform accurate data entry.</li><li>Maintain operational records.</li><li>Support daily operations.</li><li>Complete other administrative tasks as assigned.</li></ul><p>Work Conditions</p><ul><li>Remote position.</li><li>8 working hours per day.</li><li>6 working days per week.</li><li>1 weekly day off.</li><li>Monthly salary: USD 100.</li><li>Stable internet connection and laptop required.&nbsp;</li></ul><p><br></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p><br></p><ul><li>Fast and accurate data entry skills.</li><li>Excellent attention to detail.</li><li>Good written and spoken English communication.</li><li>Strong organizational and time management skills.</li><li>Ability to communicate professionally with international recruitment agencies.</li><li>Ability to multitask and work under pressure.</li><li>Responsible, committed, and able to meet deadlines.</li></ul><p>To apply:</p><p><br></p><p>Copy and paste the link below into your browser and complete the application form:</p><p><br></p><p>airtable.com/appPb5H9ePFajFMCW/shr4fiG60TcwRgd0p&nbsp;</p><p><br></p><p><br></p><p>Note:</p><ul><li>Applications will only be considered through the form. Please ensure all details are filled correctly.</li></ul><p><br></p></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 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>1. Purpose of the Position This is a predominantly teaching-focused position to manage and support delivery of postgraduate, undergraduate, foundation and executive programmes. Applicants should demonstrate excellence in teaching and research. Preference will be given to candidates with administrative experience. The successful candidate is expected to:</p><p>Teach Modules: Deliver modules at both undergraduate and postgraduate levels in Data Science, Artificial Intelligence, Machine Learning, Deep Learning, Data Analytics, and related computing areas, while supervising postgraduate theses. The normal teaching load is 3-4 modules per semester (2 semesters per academic year).</p><p>Supervise Projects: Oversee undergraduate and postgraduate projects and dissertations, ensuring students receive guidance on their research methodologies, implementation, experimentation, and outcomes.</p><p>Engage in Research: Actively participate in scholarly research activities that lead to publications in refereed, indexed, and ranked international journals within the fields of Data Science, Artificial Intelligence, and related interdisciplinary domains.</p><p>Collaborate for Grants: Initiate and develop research collaborations that result in successful research grant applications, enhancing the department s funding and research capabilities.</p><p>Curriculum Development: Play a significant role in curriculum development, programme enhancement, graduate supervision, and quality assurance while supporting the introduction of innovative AI- and data-driven learning content.</p><p>Lead Research Output: Produce high-quality scholarly work that contributes to the department s research output and enhances its academic reputation.</p><p>Community Engagement: Participate in service activities for the university as well as professional and local communities, promoting the importance of Data Science, Artificial Intelligence, and emerging digital technologies.</p><p>Key Responsibilities</p><ul><li>Deliver a high-quality teaching experience in foundation, undergraduate (Data Science and AI), laboratory, postgraduate programmes and in executive programmes.</li><li>Ensure all necessary content and material is in place for the degree programmes in time.</li><li>Construct and plan student assignments, module delivery and assessment, ensuring coherence and relevance.</li><li>Liaise with the Faculty Dean on all student matters and timetable planning and manage module timetables, content and resource areas, liaising with academic and technical staff as appropriate.</li><li>Initiate high-quality learning and teaching/training activities that reflect the needs and contemporary currency of the subject and to foster a group dynamic and peer learning.</li><li>Engage with students and demonstrators during laboratory sessions to ensure a high level of understanding is achieved by the students.</li><li>Ensure all learning experiences comply with the expectations of all related standards of the Oman Academic Accreditation Authority (OAAA).</li><li>Monitor the student voice through meetings, surveys and reviews and liaise with the Faculty Dean in relation to findings, initiating solutions to any student dissatisfaction or other issues.</li><li>Formulate and coordinate the Final Year Projects and Theses to ensure a consistent and rigorous process, including liaising with industry where necessary.</li><li>Attend Open Days, external events and interviews as required by the Faculty Dean to support recruitment activities.</li><li>Maintain flexible working patterns which include some evening and weekend work in support of Programme/Faculty/University business.</li><li>Actively engage with businesses/professional bodies/schools and colleges/communities/enterprises, etc., organize student outreach and invite industry speakers to enhance the student experience and facilitate industrial placement of students, as appropriate.</li><li>Organize, prepare and participate in University meetings and events including Boards of Examiners, Programme Reviews, Planning and Monitoring committees, Student/Staff Liaison, and faculty and university committees and policy developments.</li><li>Work with the Faculty Dean and other University representatives to ensure student attainment, success and progression by monitoring student attendance and performance, and obtaining student feedback.</li></ul><p>Applicants should provide a current CV and a cover letter justifying their suitability for the position. In doing so, applicants should use their qualifications, experience in teaching and research in an HE environment, teaching areas of interest and ability, and motivation for applying to Muscat University. Any other duties as deemed necessary by the Line Manager. While we value the interest shown by every applicant, we are able to respond only to short-listed candidates. * The job description may be altered at any time in the future in line with the level of the post to meet changing institutional requirements, but only in full consultation with the post-holder.</p><p><strong>Desired Candidate Profile</strong></p><h2>Qualifications, Experience &amp; Competencies:</h2><p>The Department invites applications for full-time and visiting faculty positions from suitable candidates. The position within the Data Science and Artificial Intelligence programme requires:</p><ul><li><strong>Educational Qualifications:</strong> A PhD in Data Science, Artificial Intelligence, Computer Science, Information Systems, or a related area from an internationally recognized university.</li><li><strong>Specialization Areas:</strong> Expertise in one or more of the following areas: Machine Learning, Deep Learning, Generative AI, Natural Language Processing, Computer Vision, Data Mining, Big Data Analytics, Business Intelligence, Statistical Learning, Reinforcement Learning, AI Ethics, or Intelligent Systems.</li><li><strong>Teaching Experience:</strong> Demonstrated experience teaching Data Science and AI-related courses at both undergraduate and postgraduate levels and supervising research projects.</li><li><strong>Research Engagement:</strong> Active involvement in research within their areas of specialization, showing intellectual engagement with current trends, methods, and challenges in Data Science and Artificial Intelligence.</li><li><strong>Industry Experience:</strong> Preference will be given to candidates with relevant industry experience in AI applications, data analytics, digital transformation, or intelligent systems that complements their academic qualifications.</li><li><strong>Practical Skills:</strong> Candidates should possess strong practical computing and analytical skills relevant to their areas of expertise, including programming (e.g., Python/R), data visualization, machine learning frameworks, and cloud or big-data platforms where applicable.</li><li><strong>Professional Development:</strong> Relevant professional certifications or evidence of continuing professional development in AI, data science, cloud analytics, or related technologies will be an advantage.</li><li><strong>Community Participation:</strong> Evidence of active participation in university, professional, and local community initiatives related to Data Science, Artificial Intelligence, and innovation.</li></ul><p>Applicants are required to submit a current CV and a cover letter outlining their suitability for the position. The cover letter should clearly highlight their academic qualifications, teaching and research experience in a higher education environment, areas of teaching interest and expertise, and their motivation for applying to Muscat University.</p>

<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>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The data engineer is responsible for designing, developing, and maintaining the infrastructure and systems required for data storage, processing, and analysis for AI initiatives. They play a crucial role in building and managing the data pipelines that enable efficient and reliable data integration, transformation, and delivery for all Al projects.</p><p>Key Responsibilities:</p><ul><li>Designs and develops data pipelines that extract data from various sources, transform it into the desired format, and load it into the appropriate data storage systems</li><li>Collaborates with AI developers, data scientists and analysts to optimize models and algorithms for data quality, security, and governance</li><li>Integrates data from different sources, including databases, data warehouses, APIs, and external systems</li><li>Ensures data consistency and integrity during the integration process, performing data validation and cleaning as needed</li><li>Transforms raw data into a usable format by applying data cleansing, aggregation, filtering, and enrichment techniques</li><li>Optimizes data pipelines and data processing workflows for performance, scalability, and efficiency</li><li>Monitors and tunes data systems, identifies and resolves performance bottlenecks, and implements caching and indexing strategies to enhance query performance</li><li>Implements data quality checks and validations within data pipelines to ensure the accuracy, consistency, and completeness of data</li><li>Supports the governance of data and algorithms used for analysis, analytical applications, and automated decision making</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>A bachelor's degree in computer science, data science, software engineering, information systems, or related quantitative field; master's degree preferred</li><li>At least six years of work experience in data management disciplines, including data integration, modeling, optimization and data quality, or other areas directly relevant to data engineering responsibilities and tasks</li><li>Proven project experience developing and maintaining data pipelines for AI projects</li></ul><p>Technical Skills:</p><ul><li>Expert knowledge in Apache technologies such as Kafka, Airflow, and Spark to build scalable and efficient data pipelines</li><li>Ability to design, build, and deploy data solutions that capture, explore, transform, and utilize data to support AI, ML, and Bl</li><li>Strong ability in programming languages such as Java, Python, and C/C++</li><li>Ability in data science languages/tools such as SQL, R, SAS, or Excel</li><li>Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP) and modern data warehouse tools (Snowflake, Databricks)</li><li>Experience with database technologies such as SQL, NoSQL, Oracle, Hadoop, or Teradata</li><li>Ability to collaborate within and across teams of different technical knowledge to support delivery and educate end users on data products</li><li>Expert problem-solving skills, including debugging skills, allowing the determination of sources of issues in unfamiliar code or systems, and the ability to recognize and solve repetitive problems</li></ul><p>Key Competencies:</p><ul><li>Excellent business acumen and interpersonal skills; able to work across business lines at a senior level to influence and effect change to achieve common goals.</li><li>Ability to describe business use cases/outcomes, data sources and management concepts, and analytical approaches/options</li><li>Ability to translate among the languages used by executive, business, IT, and quant stakeholders.</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 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>

<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 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>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>

<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>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Database Administration &amp; Management:</p> <p>Install, configure, and maintain Microsoft SQL Server environments (multiple versions).</p> <p>Manage and administer PostgreSQL databases in production and development environments.</p> <p>Provide basic administration support for Oracle databases (secondary responsibility).</p> <p>Monitor database performance, identify bottlenecks, and implement tuning improvements.</p> <p>Manage database backup, recovery, and disaster recovery (DR) strategies.</p> <p>Manage and support database environments hosted on cloud platforms, ensuring performance, availability, security, and cost optimization.</p> <p>Perform regular health checks and ensure high availability.</p> <p>Maintain database security, including user roles, permissions, and access control.</p> <p>Ensure compliance with internal IT policies, security standards, and audit requirements.</p> <p> </p> <p>SQL Development &amp; Optimization:</p> <p> Design, develop, and optimize stored procedures, functions, views, and complex SQL queries.</p> <p> Perform query tuning and execution plan analysis to improve performance.</p> <p> Support application teams with efficient database design and query logic.</p> <p> Maintain and optimize database indexing strategies.</p> <p> Implement database auditing and logging mechanisms.</p> <p> </p> <p>Data Integration &amp; ETL:</p> <p> Design and support ETL processes for data migration, transformation, and integration.</p> <p> Work with ETL tools (e.g., SSIS or equivalent) to manage data pipelines.</p> <p> Ensure data accuracy, consistency, and integrity across systems.</p> <p> Support integration between ERP systems, data warehouse, and other applications.</p> <p> Assist in building data feeds for reporting tools such as Power BI.</p> <p> </p> <p>Monitoring &amp; Operations:</p> <p>Monitor database servers, jobs, and scheduled tasks.</p> <p>Troubleshoot and resolve database-related incidents within SLA.</p> <p>Review logs, disk usage, and system performance metrics.</p> <p>Coordinate with infrastructure teams for storage, backups, and server performance.</p> <p>Ensure database environments (Dev/UAT/Prod) are aligned and consistent.</p> <p>Support &amp; Collaboration:</p> <p>Provide database support for ERP systems and other enterprise applications.</p> <p>Assist developers in database-related issues and performance tuning.</p> <p>Coordinate with vendors for database-related support and upgrades.</p> <p>Participate in system upgrades, migrations, and implementation projects.</p> <p>Provide after-hours support when required.</p> <p> </p> <p> Documentation &amp; Governance:</p> <p>Maintain up-to-date database documentation (architecture, configurations, procedures).</p> <p>Document backup, recovery, and DR procedures.</p> <p>Ensure proper change management and version control for database objects.</p> <p>Support audits and compliance reviews related to databases.</p> <p> </p> <p> </p> <p>Security &amp; Data Governance Collaboration:</p> <p>Work closely with the Cybersecurity / SOC team to identify, assess, and remediate database-related vulnerabilities.</p> <p>Support vulnerability assessments, penetration testing activities, and ensure timely closure of database security findings.</p> <p>Implement database security best practices including patching, encryption, auditing, and access control.</p> <p>Participate in security incident response activities related to database systems.</p> <p>Contribute to Data Warehouse initiatives, supporting:</p> <p>Data governance frameworks and standards</p> <p>Master data management (MDM) practices</p> <p>Data quality and consistency across systems</p> <p>Design and understanding of data marts and data models</p> <p> Collaborate with Data Warehouse and BI teams to ensure proper data structuring, transformation, and availability.</p> <p> </p> <p>Vendor &amp; Contract Management (Database Domain):</p> <p>Act as the focal point for all database-related vendors, tools, and software solutions.</p> <p>Coordinate with vendors for support, maintenance, upgrades, and issue resolution.</p> <p>Manage and track database-related contracts, licenses, and renewals (e.g., SQL Server, PostgreSQL tools, monitoring solutions).</p> <p>Support the evaluation, selection, and implementation of new database technologies and tools in alignment with business requirements.</p> <p>Ensure all vendor activities comply with organizational policies, security standards, and governance frameworks.</p> <p>Work closely with procurement and IT management on database-related purchases and initiatives, providing technical input and recommendations.</p> <p>Monitor vendor performance and ensure adherence to agreed SLAs and support commitments.</p> <p> </p> <p> </p> <p>Day-To-Day Operations:</p> <p>Monitor and maintain the performance, availability, and overall health of the database systems, primarily Microsoft SQL Server and PostgreSQL, ensuring optimal functionality across production, UAT, and development environments.</p> <p>Execute, analyze, and continuously optimize complex SQL queries, stored procedures, functions, and views to support business applications, reporting requirements, and data integration processes.</p> <p>Proactively review database logs, job executions, and system resource utilization (CPU, memory, disk space), taking corrective actions to prevent performance degradation or system failures.</p> <p>Manage and monitor database backup processes, restoration procedures, and scheduled maintenance activities, ensuring data integrity and readiness for disaster recovery scenarios.</p> <p>Handle database user management activities, including creation, modification, and revocation of access rights, while ensuring compliance with security policies and segregation of duties.</p> <p>Collaborate closely with the Cybersecurity (SOC) team to monitor, assess, and remediate database-related vulnerabilities, participate in security incident investigations, and ensure timely application of patches and security controls.</p> <p><br></p></div></section>

<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"> <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> <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>