وظائف مدخل بيانات في سلطنة عمان

<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>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Data Entry Clerk</p><p><br></p><p><br></p><p>we are looking Disable person for data entry job, intrested candidate can apply as per requirment.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>we are looking Disable person for data entry job, intrested candidate can apply as per requirment.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The Warehouse Data Entry Clerk is responsible for accurately entering, updating, and maintaining warehouse product data and inventory records in the company system. The role supports warehouse operations by ensuring accurate documentation of stock movements, deliveries, and inventory transactions.</p> <p><strong>Key Responsibilities:</strong></p> <ul> <li>Enter product, inventory, and shipment data into the system accurately and on time.</li> <li>Update stock records for incoming and outgoing items.</li> <li>Verify data accuracy and resolve discrepancies when required.</li> <li>Maintain organized records of warehouse transactions and documentation.</li> <li>Coordinate with warehouse and operations teams regarding inventory updates.</li> <li>Prepare basic inventory and stock reports as requested.</li> <li>Ensure confidentiality and proper handling of company information.</li> <li>Follow company procedures and warehouse safety guidelines.</li> </ul> <p><strong>Key Skills:</strong></p> <ul> <li>Data Entry Accuracy</li> <li>Inventory Record Management</li> <li>Attention to Detail</li> <li>Time Management</li> <li>Communication Skills</li> <li>Basic Computer Knowledge</li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>Requirements:</strong></p> <ul> <li>High school diploma or equivalent.</li> <li>Basic computer skills and proficiency in Microsoft Excel and data entry systems.</li> <li>Good attention to detail and accuracy.</li> <li>Ability to work under pressure and meet deadlines.</li> <li>Previous warehouse or data entry experience is an advantage.</li> </ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><b>Job Details</b></p><p>Summary of the terms and requirements for the Data Entry Operator position:</p><p><br></p><p>- Qualification: High school diploma.</p><p><br></p><p>- Experience: 0 to 2 years in data entry or a related field.</p><p><br></p><p><b>Required skills:</b></p><p><br></p><p>&nbsp; &nbsp;- Speed ​​and accuracy in typing and data entry.</p><p><br></p><p>&nbsp; - The ability to collect data, enter it into databases, and ensure its accuracy and completeness.</p><p><br></p><p>&nbsp;- Maintaining the accuracy of records and data and updating them correctly.</p><p><br></p><p>- Proficiency in using computers and Microsoft Office programs, including Excel and Word.</p><p><br></p><p>- The ability to organize electronic and paper files and records.</p><p><br></p><p>- Proficiency in both Arabic and English (reading and writing).</p><p><br></p><p>- The ability to work within a team and withstand work pressure.</p><p><br></p><p>- Preparing the required reports and providing administrative support when needed.</p><p><br></p><p>- Adherence to deadlines and maintaining confidentiality of information.</p><p><br></p><p>- Saving, organizing, and reviewing files and documents.</p><p><br></p><p>(Previous experience in data entry or administrative work is preferred</p> <p> </p></div></section>

<h3>Job Description</h3><h4>About the Company</h4><p>We are a manpower recruitment agency specializing in sourcing and collecting CVs from multiple nationalities, including Kenya, Uganda, India, Nepal, Sri Lanka, the Philippines, and others. We connect qualified candidates with client requirements across various industries.</p><h4>Job Overview</h4><p>We are looking for a motivated candidate from Egypt with prior experience in manpower agencies or recruitment firms.</p><p>The ideal candidate will be responsible for screening CVs, matching candidates to client requirements, and ensuring only qualified profiles are forwarded. You will also handle data entry tasks within our internal system.</p><p>This role requires someone who can work under pressure, communicate effectively in English, and learn quickly.</p><h4>Key Responsibilities</h4><ul><li>Review and screen CVs based on client job requirements.</li><li>Match suitable candidates to job orders accurately.</li><li>Ensure quality control of all submitted CVs.</li><li>Enter candidate data into internal systems.</li><li>Maintain organized records of applicants.</li><li>Coordinate internally with the team when needed.</li><li>Work efficiently under tight deadlines and high workload.</li></ul><h4>Work Arrangement</h4><ul><li>Remote (Work from Home).</li><li>Must be available to work in the Oman time zone: <strong>8:00 AM – 6:00 PM (Oman Time).</strong></li></ul><h4>Requirements</h4><ul><li>Must be based in Egypt.</li><li>Previous experience in a manpower agency or recruitment company is required.</li><li>Strong computer and data entry skills.</li><li>Good English communication skills (written and spoken).</li><li>Ability to work under pressure and meet deadlines.</li><li>Fast learner with strong attention to detail.</li><li>Professional behavior and good communication skills.</li><li>Having a strong network is a plus.</li></ul><h4>Preferred Candidate</h4><ul><li><strong>Years of Experience:</strong> 3 – 5 years</li><li><strong>Nationality:</strong> Egypt</li><li><strong>Gender:</strong> Female</li><li><strong>Age:</strong> 20 – 40 years</li><li><strong>Career Level:</strong> Entry Level</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <strong>1. Engineering Data Entry &amp; Management</strong><ul><li>Enter and maintain engineering data in E-ALPS, including:<ul><li>Drawing numbers and revisions</li><li>Bill of Materials (BOM)</li><li>Material specifications and grades</li><li>Tag numbers and line/structure identification</li></ul></li><li>Update revisions and ensure latest drawings are reflected in the system.</li></ul><strong>2. Drawing &amp; Document Control Support</strong><ul><li>Upload and register engineering drawings in the system.</li><li>Track drawing revisions, approvals, and release status.</li><li>Maintain document logs and ensure proper document version control.</li><li>Coordinate with document controllers for document flow.</li></ul><strong>3. BOM &amp; Material Coordination</strong><ul><li>Input and verify Bill of Materials (BOM) in E-ALPS.</li><li>Ensure alignment between:<ul><li>Engineering BOM</li><li>Procurement data</li><li>Fabrication requirements</li></ul></li><li>Highlight discrepancies in material data to engineering team.</li></ul><strong>4. Interface with Fabrication &amp; Planning</strong><ul><li>Ensure engineering data is correctly linked to fabrication workflows.</li><li>Support mapping of:<ul><li>Drawings to fabrication packages</li><li>Material to work orders</li></ul></li><li>Coordinate with planning team for data consistency.</li></ul> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><strong>1. Engineering Data Entry &amp; Management</strong> <ul> <li>Enter and maintain engineering data in E-ALPS, including:<br> <ul> <li>Drawing numbers and revisions</li> <li>Bill of Materials (BOM)</li> <li>Material specifications and grades</li> <li>Tag numbers and line/structure identification</li> </ul> </li> <li>Update revisions and ensure latest drawings are reflected in the system.</li> </ul> <strong>2. Drawing &amp; Document Control Support</strong> <ul> <li>Upload and register engineering drawings in the system.</li> <li>Track drawing revisions, approvals, and release status.</li> <li>Maintain document logs and ensure proper document version control.</li> <li>Coordinate with document controllers for document flow.</li> </ul> <strong>3. BOM &amp; Material Coordination</strong> <ul> <li>Input and verify Bill of Materials (BOM) in E-ALPS.</li> <li>Ensure alignment between:<br> <ul> <li>Engineering BOM</li> <li>Procurement data</li> <li>Fabrication requirements</li> </ul> </li> <li>Highlight discrepancies in material data to engineering team.</li> </ul> <strong>4. Interface with Fabrication &amp; Planning</strong> <ul> <li>Ensure engineering data is correctly linked to fabrication workflows.</li> <li>Support mapping of:<br> <ul> <li>Drawings to fabrication packages</li> <li>Material to work orders</li> </ul> </li> <li>Coordinate with planning team for data consistency.</li> </ul></div></section>

<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>

<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><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>

<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"> <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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Apprenti-e data engineer F/H F/H</p><br><br><p>Alternance</p><br><br><p>2 ans</p><br><br><p>Etudiant</p><br><br><p>Temps partiel</p><br><br><p>Au sein du département Fleet Data Engineering, le secteur « Fleet Data Science » collecte et analyse les données de fonctionnement, d'opérations et de maintenance des moteurs civils Safran Aircraft Engines. L'équipe « Fleet data Science » s'occupe particulièrement de la modélisation de la fiabilité des moteurs en exploitation. <br>L'équipe est responsable de différents outils qui exploitent les données et qui sont déployés sur différents environnements (on premise et cloud). <br>En tant qu'apprenti-e data engineer, le-la candidat-e aura pour missions : <br>Support au développement de pipelines de données (ETL/ELT) sur AWS (S3, Glue, EMR, Redshift…) et sur des VM on premise <br>Construction et maintenance des modèles et entrepôts de données <br>Optimisation des traitements &amp; automatisation des workflows (CI/CD) <br>Application des bonnes pratiques (qualité, sécurité, scalabilité, RGPD) <br>Collaboration avec les équipes IT et métiers </p><br><br><p>Des avantages proposés : accord télétravail, salle de sport, conciergerie, restauration collective, avantages CSE et couverture frais de santé. <br>Sites accessibles : transport en commun et/ou navettes </p><br><br><p>Etudiant-e en data engineering ou informatique, en recherche d'apprentissage après au minimum BAC+2. Vous avez des connaissances en Python, SQL, pySpark, CI/CD, Airflow, AWS. </p><br><br><br> </div>

<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>

<p><strong>Job Summary</strong></p><p>The Oracle DBA is responsible for managing Oracle databases, ensuring high availability, security, backup, disaster recovery, and performance optimization.</p><p>&nbsp;</p><p><strong>Key Responsibilities</strong></p><ul><li>Administer Oracle databases and ensure 24×7 availability.</li><li>Configure RAC, Data Guard, GoldenGate, and clustering.</li><li>Manage backup, recovery, upgrades, and migrations.</li><li>Monitor database performance and security.</li><li>Perform tuning, capacity planning, and troubleshooting.</li><li>Maintain database documentation and disaster recovery procedures.</li></ul><p>&nbsp;</p><p><strong>Qualification</strong></p><ul><li>Bachelor's Degree in Computer Science, IT, or related field.</li><li>Oracle certifications preferred.</li></ul><p>&nbsp;</p><p><strong>Experience &amp; Skills</strong></p><ul><li>Minimum 12 years of Oracle DBA experience.</li><li>Expertise in Oracle RAC, Data Guard, RMAN, ASM, SQL/PLSQL, database tuning, cloud platforms, scripting, backup &amp; recovery, and database security.</li></ul>

<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>