Data Entry Jobs in Egypt

Egy Bell is Hiring a Data Entry Executive for a leading travel and tourism company Location: Mohandessin, Giza<br>Key Responsibilities Review and activate static and dynamic hotel contracts Maintain accurate hotel rates pricing room allocations and availability Verify hotel data and ensure data quality through regular audits Coordinate with Contracting teams hotels and channel managers Monitor contract activation within the required timelines Handle uploading issues and follow up on system updates Review promotional offers and negotiator reports Lead support and monitor the performance of the data entry team Train team members and ensure compliance with company standards Requirements Bachelor's degree in Business Administration Tourism Hospitality Information Systems or a related field2 to 4 years of experience in data entry hotel contracting travel operations or a similar role Juniper experience is a must Strong knowledge of hotel contracting static and dynamic contracts rate plans and channel management Advanced Microsoft Excel skills Strong analytical organizational and leadership skills Very good command of English

<h3>Job Description</h3><h2>We Are Hiring | Damu</h2><p>Damu is currently seeking to hire:</p><h3>Data Entry Specialist</h3><p>&nbsp;</p><h2>Responsibilities</h2><ul><li>Accurately enter and update data in a timely manner.</li><li>Review data for accuracy and completeness.</li><li>Analyze data and generate reports to support decision-making.</li><li>Organize and maintain databases while ensuring confidentiality.</li><li>Collaborate with different teams to ensure data quality.</li></ul><p>&nbsp;</p><h2>Job Details</h2><ul><li><strong>Work Location:</strong> Heliopolis Plaza</li><li><strong>Employment Type:</strong> Full-time</li><li><strong>Salary:</strong> To be discussed during the interview</li></ul><p>Join Damu and be part of a professional environment that supports growth and development.</p><p>&nbsp;</p><h2>Job Requirements</h2><h3>Requirements</h3><ul><li>Proficiency in Microsoft Office, especially Excel.</li><li>High accuracy and speed in data entry.</li><li>Good analytical skills.</li><li>Ability to work under pressure and meet deadlines.</li><li>Previous experience in a similar role is preferred.</li></ul>

We are looking for a Data Entry & Social Media Assistant to support daily operations, data entry tasks, and basic social media management.<br>Responsibilities:<br>* Enter and update shipment and container data in the system.* Update shipment status in the dashboard.* Create and edit invoices using Microsoft Excel and Word.* Post content on Facebook and Linked In pages and groups.* Respond to basic customer messages and inquiries.* Handle basic file management (Google Drive / One Drive).<br>Requirements:<br>* Basic computer skills (Windows, internet, file handling).* Good knowledge of Microsoft Excel and Word.* Attention to detail and accuracy.* Ability to use web-based systems.* Familiarity with Facebook and Linked In

Are you detail-oriented and experienced with Shopify?<br>We're looking for an E-commerce Data Entry Specialist to join our team and play a key role in building and maintaining the product catalog for one of Kuwait's leading mobile retailers.<br>About the Company<br>Our Company has been operating successfully in Kuwait since 2021, with 4 retail branches located in Farwaniya, Jahra, Rai, and Mangaf.<br>As part of the company's digital transformation, we're launching a Shopify e-commerce store with a catalog of 400+ mobile phones and accessories. This role will be responsible for ensuring all product information is accurate, complete, and published on time.<br>???? Key Responsibilities<br>Create and manage product listings on Shopify. Upload new products with accurate titles, descriptions, specifications, images, and pricing. Ensure product information is consistent and well-organized across the website. Coordinate with warehouse teams in Kuwait to receive information about newly arrived products. Collect and organize product specifications, images, and other required content before publishing. Update inventory-related product information whenever needed. Work closely with the Content Creator and Graphic Design teams to ensure product pages are complete and aligned with the publishing schedule. Maintain high standards of data accuracy and quality across the entire product catalog.<br>???? Requirements<br>Hands-on experience with Shopify is mandatory. Previous experience in e-commerce data entry or catalog management. Excellent attention to detail and organizational skills. Ability to manage large product catalogs efficiently. Strong written communication skills. Good time management and ability to meet deadlines. Experience in the mobile phones & accessories industry is a strong plus.<br>???? Job Details<br>Location: Maadi, Cairo (On-site) Working Hours: 8 Hours Work Schedule: 5 Days On-site, 1 Day Remote, 1 Day Off<br>???? What We Offer<br>Competitive Salary. Performance-Based Bonus. Opportunity to contribute to the launch of a large-scale e-commerce project in Kuwait. Professional, collaborative, and supportive work environment. Long-term career growth and development opportunities.

<p>Data Entry &amp; Operations Support Specialist (Remote – Egypt Supporting KSA Operations)</p><p>&nbsp;Job Responsibilities:<br>• Review, clean, and update company data accurately in internal systems and databases<br>• Identify and correct duplicate, missing, or inaccurate records<br>• Maintain organized and updated data files and documentation<br>• Enter financial data including invoices, payments, and transaction records into ERP systems<br>• Verify data consistency and ensure compliance with company standards<br>• Generate reports and support data validation processes<br>• Coordinate with KSA teams to resolve data discrepancies<br>• Support accounting operations and administrative data management tasks<br>• Ensure confidentiality and security of company information<br>• Assist in improving workflow efficiency in a remote work environment</p><p>&nbsp;Work Location:<br>Remote / Possible Onsite<br>Based in Egypt – Supporting KSA Operations</p><p>&nbsp;Requirements:<br>• 0–2 years of experience in data entry, data cleaning, or administrative support<br>• Accounting background is preferred<br>• Advanced Excel skills (VLOOKUP/XLOOKUP, Pivot Tables, Data Validation)<br>• Experience with Google Sheets<br>• ERP or accounting systems experience (Odoo or similar is a plus)<br>• Experience maintaining databases or CRM systems</p><p>&nbsp;Main Skills:<br>• Strong Arabic &amp; English communication skills<br>• High attention to detail and accuracy<br>• Fast and accurate typing skills<br>• Data cleaning and validation skills<br>• Organizational and file management abilities</p><p>&nbsp;Additional Benefits:<br>• Incentives based on client retention rate as per company policy</p>

<h2>Full Job Description</h2><h2>Responsibilities</h2><ul><li>Create and update product listings across e-commerce platforms.</li><li>Maintain accurate product descriptions, specifications, pricing, and images.</li><li>Update inventory and stock information.</li><li>Manage product categories and attributes.</li><li>Monitor listings for errors and inconsistencies.</li><li>Coordinate with internal teams regarding product information and availability.</li><li>Perform bulk data imports and exports using Excel.</li><li>Generate basic reports related to products and marketplace performance.</li><li>Ensure data accuracy across all online channels.</li><li>Support new product launches and catalog updates.</li></ul><h2>Requirements</h2><ul><li>Excellent attention to detail.</li><li>Strong Microsoft Excel skills.</li><li>Experience with data entry and online catalog management.</li><li>Familiarity with e-commerce platforms such as Shopify, WooCommerce, Amazon, Noon, Jumia, or similar marketplaces is preferred.</li><li>Good English reading and writing skills.</li><li>Ability to manage large amounts of product data accurately.</li><li>Strong organizational and time-management skills.</li></ul><h2>Preferred Qualifications</h2><ul><li>Previous experience in e-commerce or online retail.</li><li>Experience with product listing optimization.</li><li>Basic understanding of SEO for product listings.</li><li>Experience with ERP or inventory management systems.</li></ul><h2>Compensation</h2><p><strong>Pay:</strong> E£8,000.00 - E£12,000.00 per month</p><h2>Education</h2><p><strong>Bachelor's (Preferred)</strong></p><h2>&nbsp;</h2>

<h2>Full Job Description</h2><h2>About inSylos</h2><p>inSylos Group is a Cairo-based B2B SaaS and custom software studio building web, mobile and AI-powered products for clients across MENA and beyond. We move fast, ship quality, and value clean execution at every layer of the business — including how we feed our sales pipeline.</p><h2>The Role</h2><p>We're hiring a Lead Generation &amp; Data Entry Specialist to keep our outbound sales engine fed with accurate, well-researched prospect data. You'll work closely with the sales team, building targeted lead lists, enriching contact information, and keeping our CRM clean and reliable. This is a focused, behind-the-scenes role with a clear impact on revenue.</p><h2>What You'll Do</h2><ul><li>Research and build targeted lead lists across our priority sectors (e.g. travel agencies, SMEs, founders).</li><li>Source and verify prospect contact details — emails, phone numbers, LinkedIn profiles, company info.</li><li>Enter and maintain lead data in our CRM with accuracy and consistency.</li><li>Keep the database clean: deduplicate, update stale records, and flag bad data.</li><li>Use tools like LinkedIn Sales Navigator, Apollo, and similar prospecting platforms.</li><li>Tag and segment leads so the sales team can prioritize the right ones quickly.</li><li>Run light qualification checks on leads before passing them to the sales team.</li><li>Produce simple weekly reports on lead volume, sources, and data quality.</li></ul><h2>What We're Looking For</h2><ul><li>Strong attention to detail — accuracy matters more than speed here.</li><li>Comfortable working with spreadsheets, CRMs, and prospecting tools.</li><li>Good written English (Arabic is a plus).</li><li>Patient, methodical, and reliable — you can sit with repetitive work and keep quality high.</li><li>Curious and resourceful — you can dig past easy answers to find the right contact.</li><li>Basic understanding of B2B sales and what makes a “good” lead (or willingness to learn fast).</li></ul><h2>Nice to Have</h2><ul><li>Prior experience in lead gen, sales ops, virtual assistance, or data entry.</li><li>Familiarity with HubSpot, Apollo, LinkedIn Sales Navigator, or similar tools.</li><li>Exposure to MENA B2B markets.</li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>MTS Globe Egypt MTS Globe is the biggest independently owned incoming company in Europe. Our network includes 66 destination offices in 22 countries in and around the Mediterranean Sea, the Atlantic Ocean, Northen Africa, the Black Sea, the Arabian Gulf and Mexico s Caribbean Coast. Since its foundation in 1967, MTS Globe has built up a strong market presence in 27 source markets in Europe and North America. It serves over 5,3 million customers with 27 million overnights per year in over 10.000 hotels. 250 clients have chosen MTS Globe as their preferred destination partner. They enjoy a superior degree of satisfaction because of reliable and high service levels, as well as customized solutions, advanced technological integrations, individual attention to each customer, best quality-price ratios due to large purchasing volumes and synergies based on a strong international network. 900 employees from 25 nationalities, a strong team of local shareholder partners, combined with central experts for operational, commercial and technological support to ensure a superior value for all MTS Globe clients. The MTS Globe vision is to continue expanding the network and create new business models in a continuously changing distribution environment. An expansion based on satisfied clients, true partnerships with customers as well as hotel suppliers, and visionary IT solutions.</p><p><strong>Reporting &amp; Data Analysis</strong></p><ul><li>Prepare and analyze daily sales reports, monthly arrivals reports, and performance dashboards.</li><li>Monitor low-performance indicators and highlight risks, trends, and opportunities.</li><li>Analyze hotel performance, arrivals, market share, and last-minute sales.</li><li>Support forecasting and management decision-making through accurate data modeling and visualization.</li></ul><p><strong>System Support &amp; Operations</strong></p><ul><li>Handle TKO system support, inquiries, and issue resolution for all departments.</li><li>Support colleagues with system-related problems and process clarifications.</li><li>Follow up on provider, reservation, pricing, and data-entry issues that affect reporting accuracy.</li></ul><p><strong>Performance Monitoring</strong></p><ul><li>Track daily sales performance and hotel results.</li><li>Identify discrepancies, incorrect data entries, or unusual trends.</li><li>Escalate critical issues to the Controlling Manager or Supervisor when required.</li></ul><p><strong>Coordination &amp; Communication</strong></p><ul><li>Communicate with Management, Revenue, Contracting, Commercial, Yielding, and other departments.</li><li>Respond to inquiries via email, phone calls, meetings, and internal systems.</li><li>Support cross-department collaboration by providing reliable data and insights.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Tourism &amp; Hospitality, Business Administration, Commerce, Information Technology, Data Science or similar field.</li><li>0-2 years of experience controlling, reporting, data analysis, or a related role</li><li>Strong English communication skills (B2 C1 recommended). Basic additional languages are a plus.</li><li>Proficiency in: Advanced Microsoft Excel (including formulas, dashboards, and VBA is an advantage)</li><li>Power BI / BI tools ( recommended).</li><li>Microsoft Outlook</li><li>Strong data analysis and reporting skills</li><li>Communication tools (Email, Phone, WhatsApp)</li><li>Attention to detail and accuracy</li><li>Time management and ability to work under pressure</li><li>Strong communication and teamwork skills</li><li>Problem-solving and analytical thinking</li><li>Ability to follow procedures and handle repetitive, detail-oriented tasks</li></ul><p></p></section>

<p>On behalf of our multinational client, RiseUP Group is seeking to hire:</p><p>&nbsp;</p><p><strong>Job Title for the new hire:</strong> Data Analyst&nbsp;</p><p>&nbsp;</p><p><strong>PLEASE NOTE THAT THIS IS A 6-MONTH PROJECT CONTRACT.</strong></p><p>&nbsp;</p><p><strong>Job Description:</strong>&nbsp;</p><p>In this role, you will turn sustainability and construction data into clear insights that help us reduce carbon emissions and improve environmental performance across our new build portfolio. You will collect, validate, and manage site-level data, including embodied carbon, energy use, waste, and water metrics build and maintain dashboards and reports to support monthly, quarterly, and annual sustainability tracking, and support financial and carbon savings analyses for initiatives such as solar, low-carbon materials, and carbon reporting. You will also automate recurring reporting tasks to improve team efficiency and work closely with Design &amp; Construction and the data teams to ensure data accuracy. The ideal candidate has experience in data analysis and reporting, proficiency in data and dashboard tools, AI tools, data automation and code writing strong attention to detail, and the ability to present findings clearly to non-technical stakeholders with an interest in sustainability or construction being a plus.&nbsp;</p><p>&nbsp;</p><p><strong>Expected deliverables:</strong>&nbsp;</p><ul><li><strong>Data Management&nbsp;</strong><ol><li>Maintain and update site-level sustainability data (embodied carbon, energy, waste, water) across Smartsheet, Asana and QuickSight.&nbsp;</li><li>Ensure data accuracy, completeness, and consistency across all active new build projects.&nbsp;</li></ol></li><li><strong>Data Automation</strong>&nbsp;<ol><li>Automate recurring data workflows within existing reporting tools.&nbsp;</li><li>Reduce manual data entry and improve timeliness of reporting outputs.&nbsp;</li></ol></li><li><strong>Data Analysis, Input &amp; Reporting&nbsp;</strong><ol><li>Produce monthly, quarterly, and annual sustainability reports (MBR, QBR, carbon footprint, flash reports)&nbsp;</li><li>Maintain portfolio-level dashboards and scorecards for cross-functional visibility.&nbsp;</li></ol></li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>This is a freelance, task-based role designed for individuals seeking flexible, supplemental work and hands-on experience in AI language data and quality operations.</p> <p>Work is offered on a first-come, first-served basis as tasks become available. Hours may be irregular and intermittent depending on client volume.</p> <p>This role is well suited for candidates who are detail-oriented, adaptable, and comfortable working within structured guidelines.</p> <p>Project hours may align with IST (Indian Standard Time) depending on workflow requirements.</p> <p><strong>Key Responsibilities</strong></p> <ul> <li>Perform structured data and content reviews</li> <li>Execute quality checks (grammar, spelling, formatting)</li> <li>Apply data labeling and tagging</li> <li>Follow client workflows and instructions</li> <li>Maintain accuracy and quality standards</li> <li>Incorporate feedback to improve performance</li> </ul> <p><strong>Desired Qualifications</strong></p> <ul> <li>Interest in AI, data, or language technology</li> <li>Prior experience in data entry, content review, QA, or similar (preferred, not required)</li> <li>Strong attention to detail</li> <li>Willingness to learn and adapt</li> </ul> <p><strong>Engagement Type &amp; Classification</strong></p> <p>This is a freelance, task-based engagement.</p> <ul> <li>U.S. candidates: 1099 Contractor (project-based)</li> <li>Non-U.S. candidates: Independent contractor via Deel</li> <li>Classification is determined by location and local compliance requirements.</li> </ul> <p><strong>Onboarding &amp; Compliance</strong></p> <ul> <li>Global contractors are onboarded through Deel</li> <li>U.S.-based workers are onboarded through Volga Partners payroll system</li> <li>Required documentation must be completed prior to starting</li> </ul> <p><strong>Compensation</strong></p> <p>Hourly compensation varies by country, language, and experience level.</p> <ul> <li>Egypt: <strong>$5.00 $6.00 USD per hour (DOE)</strong></li> </ul> <p>Compensation aligns with entry-level (L1) task scope and local market conditions.</p> <p><strong>Important Notes</strong></p> <ul> <li>This role is designed for supplemental, flexible engagement</li> <li>No guaranteed minimum hours</li> <li>No guaranteed end date</li> <li>Tasks are offered first-come, first-served</li> <li>While advancement is not guaranteed, future opportunities may evolve based on project needs, performance, and budget</li> </ul> <p><strong>Why This Role</strong></p> <p> Gain hands-on experience working on real AI and language data projects<br> Build practical skills in data quality, annotation, and content review<br> Flexible, remote work that fits around your schedule<br> Opportunity to stay engaged in ongoing and future AI programs<br> Visibility into higher-scope opportunities as projects expand </p> <ul> <li>Must be able to read and write in required language(s)</li> <li>Must understand this is a task-based freelance role</li> <li>Must have a reliable computer or laptop</li> <li>Must have stable internet connection</li> <li>Must be comfortable with flexible and intermittent work</li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul> <li>You have advanced proficiency (C1/C2 or equivalent) in the required language(s)</li> <li>You are comfortable working on structured, guideline-based tasks</li> <li>You are detail-oriented and able to follow instructions closely</li> <li>You are interested in gaining experience in AI, data, and language operations</li> <li>You are flexible and able to work with intermittent task availability</li> </ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Overview<p>Beyond International Group is a dynamic and innovative organization committed to delivering exceptional solutions and services that empower our clients to thrive in a rapidly evolving digital landscape. We pride ourselves on fostering a diverse and inclusive workplace where every team member is valued and encouraged to contribute their unique perspectives. Our collaborative culture promotes personal and professional growth, ensuring that our employees are equipped to succeed in their careers.</p><br><br><p>We believe that clear, accurate, and professional communication is essential to organizational success. As part of our commitment to excellence, we seek detail-oriented individuals who are passionate about language, quality, and continuous improvement.</p><br><br><br><p><strong>Job Title:</strong> Proofreader (Entry Level)<br><strong>Location:</strong> United States (Remote)<br><strong>Employment Type:</strong> Full-Time / Part-Time</p><br><br>Position Overview<p>As an Entry-Level Proofreader, you will play an important role in ensuring the accuracy, consistency, and professionalism of written materials across the organization. You will review documents for spelling, grammar, punctuation, formatting, and clarity while helping maintain the highest standards of written communication.</p><br><br><p>This position is ideal for individuals who possess strong attention to detail, excellent reading comprehension skills, and a genuine appreciation for written language. Comprehensive training will be provided to help you succeed in the role.</p><br><br>Key Responsibilities<ul><li>Review and proofread documents for spelling, grammar, punctuation, syntax, and formatting errors.</li><li>Ensure consistency in tone, style, terminology, and branding across written materials.</li><li>Verify the accuracy of information, names, dates, and numerical data when applicable.</li><li>Identify and correct typographical and formatting inconsistencies.</li><li>Review reports, presentations, correspondence, marketing materials, and internal documents before publication or distribution.</li><li>Collaborate with team members to clarify content and recommend revisions when necessary.</li><li>Maintain document quality standards and organizational guidelines.</li><li>Track revisions and maintain organized records of reviewed materials.</li><li>Meet established deadlines while maintaining a high level of accuracy.</li></ul>Required Qualifications<ul><li>High school diploma or equivalent required.</li><li>Excellent written English skills, including grammar, spelling, and punctuation.</li><li>Strong attention to detail and accuracy.</li><li>Ability to work independently and manage multiple assignments.</li><li>Strong organizational and time-management skills.</li><li>Basic computer proficiency and familiarity with Microsoft Office applications.</li><li>Ability to maintain confidentiality when handling sensitive information.</li></ul>Preferred Qualifications<ul><li>Associate's or Bachelor's degree in English, Communications, Journalism, Business, or a related field is a plus.</li><li>Previous proofreading, editing, administrative, or data-entry experience is beneficial but not required.</li><li>Experience using Microsoft Word, Google Docs, and collaborative editing tools.</li></ul>Benefits<p>Beyond International Group is committed to supporting employees both professionally and personally. Benefits may include:</p><br><br><ul><li>Competitive compensation.</li><li>Flexible scheduling options.</li><li>Fully remote work environment.</li><li>Paid training and onboarding.</li><li>Health, dental, and vision insurance for eligible employees.</li><li>Paid time off and holiday pay.</li><li>Professional development opportunities.</li><li>Career advancement pathways.</li><li>Supportive and collaborative team culture.</li></ul>Equal Opportunity Employer<p>Beyond International Group is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive workplace where all employees are respected, valued, and empowered to succeed.</p><br><br> <br><br> </div>

General Responsibilities: The Data Quality Manager is a group-level role within the Revenue Management function at OHM, responsible for ensuring the accuracy, integrity and governance of data across all commercial systems. Working closely with the Senior Director, Revenue Development, Revenue Development Manager and Senior BI Manager, this position supports reliable commercial decision-making by defining data standards, leading audits and enforcing compliance across RMS, CRS, PMS and BI platforms. The role plays a critical part in safeguarding the quality of business intelligence outputs by ensuring that system configurations, data inputs and operational usage align with approved standards and governance rules. Through structured audits, cross-functional collaboration and continuous monitoring, the Data Quality Manager enables confidence in reporting, forecasting and performance analysis across the organization.<br>Duties: Data Governance & Compliance• Own and maintain group-wide data governance standards across RMS, CRS, PMS, channel management and BI platforms.• Define mandatory data fields, segmentation rules, naming conventions and validation requirements to ensure consistency and accuracy.• Ensure alignment between system configurations, SOPs and governance standards across all properties.• Support system implementations, enhancements and integrations by defining data quality and validation requirements.<br> Data Auditing & Validation• Develop, design and conduct regular, structured audits across segmentation, rates, inventory, restrictions, availability, forecasts and system usage.• Identify data inconsistencies, compliance gaps, and deviations from approved standards.• Perform root cause analysis to distinguish between training issues, process gaps, system limitations, or governance weaknesses.• Validate data inputs used in BI dashboards, reports, and analytical models to ensure accuracy and reliability.<br> Issue Resolution & Cross-Functional Collaboration • Coordinate corrective actions with Revenue, Reservations, Front Office, IT and BI teams to resolve data quality issues.• Work closely with the Revenue Development Manager to address recurring data entry issues and audit findings through targeted SOPs, training and enablement.• Collaborate with the Senior BI Manager to ensure reporting definitions, logic and outputs are governance-compliant and trusted.<br> Monitoring & Continuous Improvement• Define and track data quality KPIs, compliance metrics and control indicators across commercial systems.• Maintain audit logs, issue registers, remediation trackers and governance documentation.• Report data quality performance, trends, risks and remediation progress to the Senior Director, Revenue Development.• Identify systemic risks and continuous improvement opportunities to strengthen data integrity and analytical confidence.<br>Job Specifications • Education: - Bachelor’s degree in Business, Data Analytics, Hospitality Management, Information Systems or a related field.<br> • Experience:- Minimum 4–6 years’ experience in revenue systems, data quality, auditing, governance or analytics roles.- Experience designing, executing and maintaining audits, controls or data governance frameworks.<br>Job Location: Egypt (Hybrid)<br> • Skills: - Strong understanding of hospitality commercial systems, including RMS, CRS, PMS and BI platforms.- High attention to detail and a strong commitment to data accuracy, integrity and consistency.- Strong analytical and problem-solving skills, with the ability to identify root causes and systemic risks.- Structured, process-driven mindset with a strong governance focus. Ability to influence stakeholders and drive compliance through collaboration rather than authority.- Proficiency in Arabic is considered an advantage.<br> Deadline: 9 August 2026

Understanding the Role (Entry-Level Scope with High Language Standards) <br><br>This role is structured as an Entry-Level (L1 - Foundational Scope) position, which refers to the type of tasks and level of complexity, not the candidate's overall experience or capability. Tasks are clearly defined, guideline-driven, and execution-focused, designed for high-volume, standardized work. While the task complexity is entry-level, we maintain high language quality standards. Candidates should have advanced proficiency (C1/C2 or equivalent) in the required language(s) to ensure accuracy and consistency. We welcome applicants with more advanced experience (L2/L3); however, task scope and compensation for this role are aligned strictly to entry-level L1 responsibilities. Early Access Opportunity (Pilot Program) <br><br>Join a global AI language project supporting leading technology platforms. This is a flexible, entry-level opportunity to gain hands-on experience in AI data and language quality operations. <br> <br>This role is part of an early-stage pilot program, where we are building a foundational team to support ongoing and future client initiatives. We are actively building our initial team, and early contributors will be prioritized for ongoing work as the program expands. At this time, all available work and budget are aligned with entry-level (L1) tasks, which are structured, execution-based, and designed for high-volume delivery. ???? This role is a starting point within a growing program, with potential for expanded opportunities based on project needs, performance, and budget. Contributors who are active, reliable, and consistent will remain engaged within the project ecosystem as work continues to evolve. <br>About Volga Partners <br><br>Volga Partners is a U. S.-based company supporting leading technology organizations with Artificial Intelligence and machine learning initiatives. We specialize in large-scale language data operations and quality programs across global markets. <br>Role Overview <br><br>This is a freelance, task-based role designed for individuals seeking flexible, supplemental work and hands-on experience in AI language data and quality operations. Work is offered on a first-come, first-served basis as tasks become available. Hours may be irregular and intermittent depending on client volume. This role is well suited for candidates who are detail-oriented, adaptable, and comfortable working within structured guidelines. Project hours may align with IST (Indian Standard Time) depending on workflow requirements. Who You Are (Entry-Level with Strong Language Skills) <br><br>You have advanced proficiency (C1/C2 or equivalent) in the required language(s) You are comfortable working on structured, guideline-based tasks You are detail-oriented and able to follow instructions closely You are interested in gaining experience in AI, data, and language operations You are flexible and able to work with intermittent task availability Example Tasks <br><br>Tasks are simple, structured, and typically take a few minutes to complete, depending on the workflow. Review content for grammar, spelling, and clarity Translate short, straightforward phrases Compare data against provided guidelines Apply basic data labels using step-by-step instructions Flag errors or inconsistencies Key Responsibilities Perform structured data and content reviews Execute quality checks (grammar, spelling, formatting) Apply data labeling and tagging Follow client workflows and instructions Maintain accuracy and quality standards Incorporate feedback to improve performance <br>Desired Qualifications Interest in AI, data, or language technology Prior experience in data entry, content review, QA, or similar (preferred, not required) Strong attention to detail Willingness to learn and adapt <br>Engagement Type & Classification This is a freelance, task-based engagement. U. S. candidates: 1099 Contractor (project-based) Non-U. S. candidates: Independent contractor via Deel Classification is determined by location and local compliance requirements. <br>Onboarding & Compliance Global contractors are onboarded through Deel U. S.-based workers are onboarded through Volga Partners' payroll system Required documentation must be completed prior to starting <br>Compensation Hourly compensation varies by country, language, and experience level. Egypt: $5.00 - $6.00 USD per hour (DOE) Compensation aligns with entry-level (L1) task scope and local market conditions. <br>Important Notes This role is designed for supplemental, flexible engagement No guaranteed minimum hours No guaranteed end date Tasks are offered first-come, first-served While advancement is not guaranteed, future opportunities may evolve based on project needs, performance, and budget <br>Why This Role • Gain hands-on experience working on real AI and language data projects <br>• Build practical skills in data quality, annotation, and content review <br>• Flexible, remote work that fits around your schedule <br>• Opportunity to stay engaged in ongoing and future AI programs <br>• Visibility into higher-scope opportunities as projects expand <br><br>Requirements<br><br>Must be able to read and write in required language(s) Must understand this is a task-based freelance role Must have a reliable computer or laptop Must have stable internet connection Must be comfortable with flexible and intermittent work

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Understanding the Role (Entry-Level Scope with High Language Standards) This role is structured as an Entry-Level (L1 – Foundational Scope) position, which refers to the type of tasks and level of complexity, not the candidate’s overall experience or capability.<br> Tasks are clearly defined, guideline-driven, and execution-focused, designed for high-volume, standardized work.<br> While the task complexity is entry-level, we maintain high language quality standards.<br> Candidates should have advanced proficiency (C1/C2 or equivalent) in the required language(s) to ensure accuracy and consistency.<br> We welcome applicants with more advanced experience (L2/L3); however, task scope and compensation for this role are aligned strictly to entry-level L1 responsibilities.<br> Early Access Opportunity (Pilot Program) Join a global AI language project supporting leading technology platforms.<br> This is a flexible, entry-level opportunity to gain hands-on experience in AI data and language quality operations.<br> This role is part of an early-stage pilot program, where we are building a foundational team to support ongoing and future client initiatives.<br> We are actively building our initial team, and early contributors will be prioritized for ongoing work as the program expands.<br> At this time, all available work and budget are aligned with entry-level (L1) tasks, which are structured, execution-based, and designed for high-volume delivery.<br> ? This role is a starting point within a growing program, with potential for expanded opportunities based on project needs, performance, and budget.<br> Contributors who are active, reliable, and consistent will remain engaged within the project ecosystem as work continues to evolve.<br> About Volga Partners Volga Partners is a U.<br>S.-based company supporting leading technology organizations with Artificial Intelligence and machine learning initiatives.<br> We specialize in large-scale language data operations and quality programs across global markets.<br> Role Overview This is a freelance, task-based role designed for individuals seeking flexible, supplemental work and hands-on experience in AI language data and quality operations.<br> Work is offered on a first-come, first-served basis as tasks become available.<br> Hours may be irregular and intermittent depending on client volume.<br> This role is well suited for candidates who are detail-oriented, adaptable, and comfortable working within structured guidelines.<br> Project hours may align with IST (Indian Standard Time) depending on workflow requirements.<br> Who You Are (Entry-Level with Strong Language Skills) You have advanced proficiency (C1/C2 or equivalent) in the required language(s) You are comfortable working on structured, guideline-based tasks You are detail-oriented and able to follow instructions closely You are interested in gaining experience in AI, data, and language operations You are flexible and able to work with intermittent task availability Example Tasks Tasks are simple, structured, and typically take a few minutes to complete, depending on the workflow.<br> Review content for grammar, spelling, and clarity Translate short, straightforward phrases Compare data against provided guidelines Apply basic data labels using step-by-step instructions Flag errors or inconsistencies Key Responsibilities Perform structured data and content reviews Execute quality checks (grammar, spelling, formatting) Apply data labeling and tagging Follow client workflows and instructions Maintain accuracy and quality standards Incorporate feedback to improve performance Desired Qualifications Interest in AI, data, or language technology Prior experience in data entry, content review, QA, or similar (preferred, not required) Strong attention to detail Willingness to learn and adapt Engagement Type &amp; Classification This is a freelance, task-based engagement.<br> U.S. candidates: 1099 Contractor (project-based) Non-U.<br>S. candidates: Independent contractor via Deel Classification is determined by location and local compliance requirements.<br> Onboarding &amp; Compliance Global contractors are onboarded through Deel U.<br>S.-based workers are onboarded through Volga Partners’ payroll system Required documentation must be completed prior to starting Compensation Hourly compensation varies by country, language, and experience level.<br> Egypt: $5.00 – $6.00 USD per hour (DOE) Compensation aligns with entry-level (L1) task scope and local market conditions.<br> Important Notes This role is designed for supplemental, flexible engagement No guaranteed minimum hours No guaranteed end date Tasks are offered first-come, first-served While advancement is not guaranteed, future opportunities may evolve based on project needs, performance, and budget Why This Role • Gain hands-on experience working on real AI and language data projects • Build practical skills in data quality, annotation, and content review • Flexible, remote work that fits around your schedule • Opportunity to stay engaged in ongoing and future AI programs • Visibility into higher-scope opportunities as projects expand Must be able to read and write in required language(s) Must understand this is a task-based freelance role Must have a reliable computer or laptop Must have stable internet connection Must be comfortable with flexible and intermittent work</span> </div>

Understanding the Role (Entry-Level Scope with High Language Standards) <br><br>This role is structured as an Entry-Level (L1 - Foundational Scope) position, which refers to the type of tasks and level of complexity, not the candidate's overall experience or capability. Tasks are clearly defined, guideline-driven, and execution-focused, designed for high-volume, standardized work. While the task complexity is entry-level, we maintain high language quality standards. Candidates should have advanced proficiency (C1/C2 or equivalent) in the required language(s) to ensure accuracy and consistency. We welcome applicants with more advanced experience (L2/L3); however, task scope and compensation for this role are aligned strictly to entry-level L1 responsibilities. Early Access Opportunity (Pilot Program) <br><br>Join a global AI language project supporting leading technology platforms. This is a flexible, entry-level opportunity to gain hands-on experience in AI data and language quality operations. <br> <br>This role is part of an early-stage pilot program, where we are building a foundational team to support ongoing and future client initiatives. We are actively building our initial team, and early contributors will be prioritized for ongoing work as the program expands. At this time, all available work and budget are aligned with entry-level (L1) tasks, which are structured, execution-based, and designed for high-volume delivery. ???? This role is a starting point within a growing program, with potential for expanded opportunities based on project needs, performance, and budget. Contributors who are active, reliable, and consistent will remain engaged within the project ecosystem as work continues to evolve. <br>About Volga Partners <br><br>Volga Partners is a U. S.-based company supporting leading technology organizations with Artificial Intelligence and machine learning initiatives. We specialize in large-scale language data operations and quality programs across global markets. <br>Role Overview <br><br>This is a freelance, task-based role designed for individuals seeking flexible, supplemental work and hands-on experience in AI language data and quality operations. Work is offered on a first-come, first-served basis as tasks become available. Hours may be irregular and intermittent depending on client volume. This role is well suited for candidates who are detail-oriented, adaptable, and comfortable working within structured guidelines. Project hours may align with IST (Indian Standard Time) depending on workflow requirements. Who You Are (Entry-Level with Strong Language Skills) <br><br>You have advanced proficiency (C1/C2 or equivalent) in the required language(s) You are comfortable working on structured, guideline-based tasks You are detail-oriented and able to follow instructions closely You are interested in gaining experience in AI, data, and language operations You are flexible and able to work with intermittent task availability Example Tasks <br><br>Tasks are simple, structured, and typically take a few minutes to complete, depending on the workflow. Review content for grammar, spelling, and clarity Translate short, straightforward phrases Compare data against provided guidelines Apply basic data labels using step-by-step instructions Flag errors or inconsistencies Key Responsibilities Perform structured data and content reviews Execute quality checks (grammar, spelling, formatting) Apply data labeling and tagging Follow client workflows and instructions Maintain accuracy and quality standards Incorporate feedback to improve performance <br>Desired Qualifications Interest in AI, data, or language technology Prior experience in data entry, content review, QA, or similar (preferred, not required) Strong attention to detail Willingness to learn and adapt <br>Engagement Type & Classification This is a freelance, task-based engagement. U. S. candidates: 1099 Contractor (project-based) Non-U. S. candidates: Independent contractor via Deel Classification is determined by location and local compliance requirements. <br>Onboarding & Compliance Global contractors are onboarded through Deel U. S.-based workers are onboarded through Volga Partners' payroll system Required documentation must be completed prior to starting <br>Compensation Hourly compensation varies by country, language, and experience level. Egypt: $5.00 - $6.00 USD per hour (DOE) Compensation aligns with entry-level (L1) task scope and local market conditions. <br>Important Notes This role is designed for supplemental, flexible engagement No guaranteed minimum hours No guaranteed end date Tasks are offered first-come, first-served While advancement is not guaranteed, future opportunities may evolve based on project needs, performance, and budget <br>Why This Role • Gain hands-on experience working on real AI and language data projects <br>• Build practical skills in data quality, annotation, and content review <br>• Flexible, remote work that fits around your schedule <br>• Opportunity to stay engaged in ongoing and future AI programs <br>• Visibility into higher-scope opportunities as projects expand <br><br>Requirements<br><br>Must be able to read and write in required language(s) Must understand this is a task-based freelance role Must have a reliable computer or laptop Must have stable internet connection Must be comfortable with flexible and intermittent work

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Yassir is seeking a highly skilled and motivated Senior Data Scientist, to join our Artificial Intelligence (AI) team and contribute to some of our key projects, such as Dynamic Pricing and Trip Dispatching. As a Data Scientist, you will play a crucial role in analyzing and modelling data to optimize our Machine Learning (ML) systems. Your expertise in both predictive modelling and software development will be essential in driving our solutions and providing value to Yassir. This is a very exciting opportunity, tackling some of Yassir s most critical problems.</p><p><br></p><p><b>Responsibilities</b></p><ul><li>Become an expert point of contact and thought leader on your scope by mastering the details and principles pertaining to it. Some key areas we have to focus include: optimizing our Pricing capabilities, such as Dynamic / Surge Pricing, Discounts / Commissioning Optimization and Personalized Pricing, optimizing our Dispatching capabilities, optimizing our Fraud Detection / Revenue Leakage Prevention capabilities, optimizing our Recommendations / Personalization capabilities, amongst others.</li><li>Identify and propose ML opportunities related to your scope and beyond</li><li>Support with requirements definition and prioritization of ML projects</li><li>Collaborate with cross-functional Engineering and Product teams</li><li>Champion Data Quality as a critical input component to all ML solutions and Analytics</li><li>Conduct Exploratory Data Analysis and subsequent Feature Selection / Engineering</li><li>Utilize Statistical and ML techniques, as appropriate, for model training</li><li>Validate and tune ML models</li><li>Visualize analysis / modelling results focusing on meaningful, actionable metrics and insights</li><li>Deploy and test ML applications using our MLOps infrastructure</li><li>Monitor ML models on their technical performance, business impact and underlying data / concept drift</li><li>Explain technical solutions in a business-friendly manner, supporting Product teams in their communications and reporting</li><li>Maintain and improve technical documentation of delivered solutions</li><li>Support the Data &amp; AI domain in developing its technical capabilities, improving its ways of working and collaboration with other dependent teams</li><li>Champion Data Culture, proactively share knowledge across teams, and participate and drive team building activities</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Solid Mathematical / Statistical / Machine Learning as well as Software Development technical skills - supported by a Masters degree or above in a relevant quantitative field such as Mathematics, Statistics, Data Science, Machine Learning, Operational Research, Computer Science, Software Engineering, Physics</li><li>Comfortable in efficient, production quality Python and SQL coding at a professional setting with at least 2 years of industry experience (more years of experience would be required for more Senior roles)</li><li>Comfortable with key software engineering concepts, such as code / memory profiling, code optimization, scalability, code / QA testing, cost optimization and associated best practices.</li><li>Comfortable with key Statistical concepts, such as statistical testing and causal analysis</li><li>Analytical thinking and problem solving skills</li><li>Engineering mindset focused towards delivering robust applied data science solutions</li><li>Visualization skills, including experience with common Python ecosystem libraries and/or Analytics / BI tooling</li><li>Familiarity and prior use of Cloud solutions and their data / ML services - at Yassir we use Google Cloud Platform (GCP), experience with which is highly preferred</li><li>Mastering of the end-to-end (ML) model development lifecycle</li><li>Excellent communication skills, including presentation and oral / written communication (clear articulation, concise documentation) in professional English</li><li>Positive attitude and resilience</li><li>Strong interpersonal skills focused on peer support, empathy, active listening, team building and stakeholder relationships building</li><li>Internal drive, self-motivation and ability to work independently including own effective project management</li></ul><p><strong>Nice to have</strong></p><ul><li>Experience with Financial Services companies</li><li>Experience working on ML features for Digital Products (apps, websites)</li><li>Experience with one or more from: Pricing / Economics related projects and/or modelling techniques (we welcome Economics / Econometrics backgrounds and experience), Fraud Detection related projects, Dispatching related projects, Personalization related projects</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <b><span>Yassir</span></b><span> is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in </span><b><span>45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa</span></b><span>. It is backed (~</span><b><span>$200M in funding</span></b><span>) by VCs from Silicon Valley, Europe and other parts of the world. </span><br><span>We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally. </span><br><span>Helping usher the continent into a digital economy era. We’re not just about serving people - we’re about creating a marketplace to bring people what they need while infusing social values.</span><br> <p><span>Yassir is seeking a highly skilled and motivated Senior Data Scientist, to join our Artificial Intelligence (AI) team and contribute to some of our key projects, such as Dynamic Pricing and Trip Dispatching. As a Data Scientist, you will play a crucial role in analyzing and modelling data to optimize our Machine Learning (ML) systems. Your expertise in both predictive modelling and software development will be essential in driving our solutions and providing value to Yassir. This is a very exciting opportunity, tackling some of Yassir’s most critical problems.</span></p><br> <br><br><p><b>About the Team</b></p><br><ul><li>The AI team is part of Yassir’s central Data &amp; AI domain, which is responsible for all data related activities in the organization - from Data Engineering, Data Platform management and Data Analytics all the way to AI solutions and MLOps infrastructure development. We are a global team of Data and AI / ML experts, encompassing diverse backgrounds and skills. We strive to build state-of-the-art Data and ML infrastructure and solutions, and ultimately a Data Culture supported by responsible and democratized data access, data-driven decision making and automation. We push the envelope of what’s feasible, we challenge each other, we support each other, and we take great pride in our work. Most of all we are value-driven to create impact from our data solutions. If you have an inherent curiosity about the fields Data and AI, a relevant background and an internal zeal and drive to contribute, please come join us!<br></li></ul><br><p><b>Responsibilities</b></p><br><ul> <li> <p>Become an expert point of contact and thought leader on your scope by mastering the details and principles pertaining to it.</p><br> </li> <li> <p>Some key areas we have to focus include: optimizing our Pricing capabilities, such as Dynamic / Surge Pricing, Discounts / Commissioning Optimization and Personalized Pricing, optimizing our Dispatching capabilities, optimizing our Fraud Detection / Revenue Leakage Prevention capabilities, optimizing our Recommendations / Personalization capabilities, amongst others.</p><br> </li> <li> <p>Identify and propose ML opportunities related to your scope and beyond</p><br> </li> <li> <p>Support with requirements definition and prioritization of ML projects</p><br> </li> <li> <p>Collaborate with cross-functional Engineering and Product teams</p><br> </li> <li> <p>Champion Data Quality as a critical input component to all ML solutions and Analytics</p><br> </li> <li> <p>Conduct Exploratory Data Analysis and subsequent Feature Selection / Engineering</p><br> </li> <li> <p>Utilize Statistical and ML techniques, as appropriate, for model training</p><br> </li> <li> <p>Validate and tune ML models</p><br> </li> <li> <p>Visualize analysis / modelling results focusing on meaningful, actionable metrics and insights</p><br> </li> <li> <p>Deploy and test ML applications using our MLOps infrastructureMonitor ML models on their technical performance, business impact and underlying data / concept drift</p><br> </li> <li> <p>Explain technical solutions in a business-friendly manner, supporting Product teams in their communications and reporting</p><br> </li> <li> <p>Maintain and improve technical documentation of delivered solutions</p><br> </li> <li> <p>Support the Data &amp; AI domain in developing its technical capabilities, improving its ways of working and collaboration with other dependent teams</p><br> </li> <li> <p>Champion Data Culture, proactively share knowledge across teams, and participate and drive team building activities</p><br> <br></li> </ul><br><p><b>Key Requirements - Essential</b></p><br><ul> <li><ul> <li> <p><span>Solid Mathematical / Statistical / Machine Learning as well as Software Development technical skills - supported by a Masters degree or above in a relevant quantitative field such as Mathematics, Statistics, Data Science, Machine Learning, Operational Research, Computer Science, Software Engineering, Physics</span></p><br> </li> <li> <p><span>Comfortable in efficient, production quality Python and SQL coding at a professional setting with at least 2 years of industry experience (more years of experience would be required for more Senior roles)</span></p><br> </li> <li> <p><span>Comfortable with key software engineering concepts, such as code / memory profiling, code optimization, scalability, code / QA testing, cost optimization and associated best practices.</span></p><br> </li> <li> <p><span>Comfortable with key Statistical concepts, such as statistical testing and causal analysis</span></p><br> </li> <li> <p><span>Analytical thinking and problem solving skills</span></p><br> </li> <li> <p><span>Engineering mindset focused towards delivering robust applied data science solutions</span></p><br> </li> <li> <p><span>Visualization skills, including experience with common Python ecosystem libraries and/or Analytics / BI tooling</span></p><br> </li> <li> <p><span>Familiarity and prior use of Cloud solutions and their data / ML services - at Yassir we use Google Cloud Platform (GCP), experience with which is highly preferred</span></p><br> </li> <li> <p><span>Mastering of the end-to-end (ML) model development lifecycle</span></p><br> </li> <li> <p><span>Excellent communication skills, including presentation and oral / written communication (clear articulation, concise documentation) in professional English</span></p><br> </li> <li> <p><span>Positive attitude and resilience</span></p><br> </li> <li> <p><span>Strong interpersonal skills focused on peer support, empathy, active listening, team building and stakeholder relationships building</span></p><br> </li> <li> <p><span>Internal drive, self-motivation and ability to work independently including own effective project management</span></p><br> </li> </ul><br></li></ul><br><p><b>Nice to have</b></p><br><ul> <li><ul> <li> <p><span>Experience with Financial Services companies</span></p><br> </li> <li> <p><span>Experience working on ML features for Digital Products (apps, websites)</span></p><br> </li> <li> <p><span>Experience with one or more from: Pricing / Economics related projects and/or modelling techniques (we welcome Economics / Econometrics backgrounds and experience), Fraud Detection related projects, Dispatching related projects, Personalization related projects</span></p><br> </li> </ul><br></li></ul><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Overview We are seeking an experienced Data Governance &amp; Management Specialist with 6 12+ years of experience to establish, implement, and manage enterprise data governance frameworks. The ideal candidate will have strong expertise in data governance standards, data quality management, metadata management, master data management, data classification, and privacy practices. This role will support organizations in improving data trust, compliance, accessibility, and business value through effective governance strategies. Key Responsibilities Develop and implement enterprise data governance frameworks aligned with industry standards and business objectives. Establish data governance policies, standards, processes, and operating models. Define data ownership, stewardship models, and governance responsibilities across business and technology teams. Implement data quality management frameworks to improve accuracy, completeness, and reliability of enterprise data. Manage metadata, data cataloging, lineage, and business glossary initiatives. Support Master Data Management (MDM) strategies and implementation. Define and implement data classification and data privacy frameworks. Collaborate with business stakeholders, data owners, security teams, and technology teams to ensure effective data governance. Monitor governance KPIs, data quality metrics, and compliance requirements. Drive adoption of governance practices across enterprise data initiatives. Support regulatory compliance and data protection requirements. Required Technical &amp; Functional Skills Data Governance Frameworks Strong understanding of DAMA-DMBOK or NDMO frameworks and data governance principles. Experience designing and implementing enterprise data governance operating models. Knowledge of data stewardship, ownership, policies, standards, and governance processes. Data Governance Platforms Hands-on experience with Collibra or Alation for: Data catalog management Metadata management Business glossary creation Data lineage tracking Governance workflow management Data Quality Management Experience with Informatica Data Quality (DQ) or comparable data quality tools. Strong understanding of data profiling, validation rules, quality monitoring, and remediation processes. Master Data Management Experience implementing Master Data Management (MDM) frameworks and processes. Understanding of master data domains, golden records, and data synchronization approaches. Data Classification &amp; Privacy Experience with Data Classification and Data Privacy frameworks. Knowledge of sensitive data identification, protection controls, and compliance requirements. Understanding of privacy regulations and enterprise data protection practices. Qualifications Bachelor's degree in Computer Science, Information Technology, Data Management, Business Analytics, or a related field. 6 12+ years of experience in Data Governance, Data Management, Data Quality, or Enterprise Data Management. Strong understanding of enterprise data architecture and governance practices. Excellent communication, stakeholder management, and collaboration skills. Experience working with cross-functional teams in enterprise environments. Preferred Skills Experience supporting large-scale data transformation initiatives. Knowledge of cloud data platforms and modern data ecosystems. Familiarity with data security, risk management, and compliance frameworks. Experience establishing Data Governance Centers of Excellence (CoE). Certifications such as CDMP, DAMA, Data Governance, or Privacy certifications are a plus. Key Technology &amp; Capability Stack Data Governance Frameworks: DAMA-DMBOK or NDMO Data Governance Platforms: Collibra or Alation Data Quality: Informatica Data Quality (DQ) and Data Profiling and Quality Monitoring Data Management: Master Data Management (MDM) and Metadata Management and Data Lineage Data Protection: Data Classification and Data Privacy and Compliance Management Governance Practices: Data Ownership and Data Stewardship and Governance Operating Models Share</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor's degree in Computer Science, Information Technology, Data Management, Business Analytics, or a related field. 6 12+ years of experience in Data Governance, Data Management, Data Quality, or Enterprise Data Management. Strong understanding of enterprise data architecture and governance practices. Excellent communication, stakeholder management, and collaboration skills. Experience working with cross-functional teams in enterprise environments. Preferred Skills Experience supporting large-scale data transformation initiatives. Knowledge of cloud data platforms and modern data ecosystems. Familiarity with data security, risk management, and compliance frameworks. Experience establishing Data Governance Centers of Excellence (CoE). Certifications such as CDMP, DAMA, Data Governance, or Privacy certifications are a plus.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Overview We are seeking a highly skilled Data Engineering &amp; Warehousing Engineer with 3 11 years of experience to design, develop, and maintain scalable data platforms and enterprise data warehouse solutions. The ideal candidate will have hands-on expertise in building ETL/ELT pipelines, data integration, cloud-based data platforms, and big data processing technologies. You will play a key role in enabling reliable, high-performance analytics and business intelligence solutions. Key Responsibilities Design, develop, and optimize scalable ETL/ELT pipelines for structured and unstructured data. Build and maintain enterprise data warehouses, data lakes, and modern data platforms. Develop real-time and batch data processing solutions. Integrate data from multiple internal and external sources while ensuring data quality and governance. Collaborate with Data Scientists, BI Developers, and business stakeholders to support analytical requirements. Optimize data storage, query performance, and pipeline reliability. Implement data security, monitoring, and governance best practices. Troubleshoot and resolve data pipeline and platform issues. Participate in architecture discussions and contribute to data platform modernization initiatives. Required Technical Skills Cloud Data Platforms Hands-on experience with Google BigQuery and Dataflow and Dataproc and Pub/Sub . Experience with Azure Synapse and Azure Data Factory . Experience with Amazon Redshift and AWS Glue . Data Processing &amp; Streaming Strong experience with Apache Spark and Apache Kafka . Experience building batch and real-time data processing pipelines. Data Transformation Hands-on experience with dbt or Oracle Data Integrator (ODI) for data transformation and orchestration. Experience implementing ETL/ELT best practices and reusable data models. Databases &amp; Data Warehousing Strong experience with Oracle or PostgreSQL . Expertise in SQL, relational database design, performance tuning, and query optimization. Data Engineering Experience with data modeling, data governance, metadata management, and data quality frameworks. Knowledge of dimensional modeling and modern data warehouse architectures. Preferred Skills Experience with cloud-native data lake and lakehouse architectures. Knowledge of CI/CD pipelines and Infrastructure as Code (IaC). Familiarity with containerization technologies such as Docker and Kubernetes. Experience supporting machine learning and analytics workloads. Cloud certifications on AWS, Microsoft Azure, or Google Cloud Platform are a plus. Key Technology Stack Google Cloud Data Services: BigQuery and Dataflow and Dataproc and Pub/Sub Azure Data Services: Azure Synapse and Azure Data Factory AWS Data Services: Amazon Redshift and AWS Glue Data Processing: Apache Spark and Apache Kafka Data Transformation: dbt or Oracle Data Integrator (ODI) Databases: Oracle or PostgreSQL Programming: SQL and Python Cloud Platforms: Google Cloud Platform or Microsoft Azure or Amazon Web Services (Preferred) Share</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"><b>Qualifications</b></p><p>Bachelor's degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or a related field.</p><p>3 11 years of professional experience in Data Engineering, Data Warehousing, or Big Data technologies.</p><p>Strong programming and scripting skills using SQL, Python, or similar languages.</p><p>Excellent analytical and problem-solving abilities.</p><p>Experience working in Agile/Scrum development environments.</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Lead the design and implementation of enterprise Data Management frameworks, governance models, policies, standards, and operating procedures. The consultant will work closely with business and IT stakeholders to improve data quality, establish data ownership, ensure regulatory compliance, and maximize the business value of organizational data assets.</p><br><p><strong>Key Responsibilities</strong></p><br><ul><li>Lead enterprise Data Management and Data Governance initiatives. </li><li>Develop Data Governance Frameworks, Policies, Standards, and Procedures. </li><li>Define data ownership, stewardship, and accountability models. </li><li>Establish Data Quality frameworks, KPIs, and monitoring processes. </li><li>Design Metadata Management and Business Glossary structures. </li><li>Develop Master Data Management (MDM) strategies. </li><li>Support Data Catalog implementation and governance. </li><li>Define Data Lifecycle Management processes. </li><li>Develop Data Classification and Data Retention policies. </li><li>Assess current-state data maturity and recommend improvements. </li><li>Conduct data governance workshops with business stakeholders. </li><li>Support implementation of governance tools and platforms. </li><li>Ensure compliance with local and international regulations. </li><li>Prepare executive reports, dashboards, and governance metrics. </li><li>Mentor Data Management Specialists. </li></ul> </div>