Data Entry Jobs in UAE
8043 Jobs Found
Role: Data Engineer - Infrastructure (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $100/hour<br>Role Overview:We are hiring for one of our clients, seeking a Data Engineer to work on a contract basis. The role involves designing, building, and maintaining scalable data pipelines and infrastructure to support data-driven decision-making. You will collaborate with cross-functional teams to ensure data reliability, quality, and accessibility for analytical and operational needs.<br>Key Responsibilities:• Design, develop, and optimize data pipelines to ingest, transform, and load data from various sources into target systems.• Implement and maintain ETL/ELT processes to support data warehousing and analytics initiatives.• Ensure data integrity, consistency, and security across all data assets and systems.• Monitor pipeline performance, troubleshoot issues, and implement improvements to enhance efficiency and reliability.• Collaborate with data scientists, analysts, and other stakeholders to understand requirements and deliver high-quality data solutions.<br>Required Skills & Qualifications:• Experience with SQL, Python, or Scala for data engineering tasks.• Proficiency in data pipeline tools such as Apache Airflow, Spark, or similar frameworks.• Knowledge of cloud platforms (AWS, GCP, Azure) and their data services.• Familiarity with data modeling, warehousing concepts, and schema design.• Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet | Data Infrastructure and Analytics industry, contributing to the modernization of data infrastructure and enabling advanced analytics capabilities. The position allows for remote work with flexible hours, providing a balance between professional growth and personal flexibility.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!
Role: Data Engineer - Infrastructure (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $100/hour<br>Role Overview:We are hiring for one of our clients, seeking a Data Engineer to work on a contract basis. The role involves designing, building, and maintaining scalable data pipelines and infrastructure to support data-driven decision-making. You will collaborate with cross-functional teams to ensure data reliability, quality, and accessibility for analytical and operational needs.<br>Key Responsibilities:• Design, develop, and optimize data pipelines to ingest, transform, and load data from various sources into target systems.• Implement and maintain ETL/ELT processes to support data warehousing and analytics initiatives.• Ensure data integrity, consistency, and security across all data assets and systems.• Monitor pipeline performance, troubleshoot issues, and implement improvements to enhance efficiency and reliability.• Collaborate with data scientists, analysts, and other stakeholders to understand requirements and deliver high-quality data solutions.<br>Required Skills & Qualifications:• Experience with SQL, Python, or Scala for data engineering tasks.• Proficiency in data pipeline tools such as Apache Airflow, Spark, or similar frameworks.• Knowledge of cloud platforms (AWS, GCP, Azure) and their data services.• Familiarity with data modeling, warehousing concepts, and schema design.• Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet | Data Infrastructure and Analytics industry, contributing to the modernization of data infrastructure and enabling advanced analytics capabilities. The position allows for remote work with flexible hours, providing a balance between professional growth and personal flexibility.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!
Role: Data Engineer - Infrastructure (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $100/hour<br>Role Overview:We are hiring for one of our clients, seeking a Data Engineer to work on a contract basis. The role involves designing, building, and maintaining scalable data pipelines and infrastructure to support data-driven decision-making. You will collaborate with cross-functional teams to ensure data reliability, quality, and accessibility for analytical and operational needs.<br>Key Responsibilities:• Design, develop, and optimize data pipelines to ingest, transform, and load data from various sources into target systems.• Implement and maintain ETL/ELT processes to support data warehousing and analytics initiatives.• Ensure data integrity, consistency, and security across all data assets and systems.• Monitor pipeline performance, troubleshoot issues, and implement improvements to enhance efficiency and reliability.• Collaborate with data scientists, analysts, and other stakeholders to understand requirements and deliver high-quality data solutions.<br>Required Skills & Qualifications:• Experience with SQL, Python, or Scala for data engineering tasks.• Proficiency in data pipeline tools such as Apache Airflow, Spark, or similar frameworks.• Knowledge of cloud platforms (AWS, GCP, Azure) and their data services.• Familiarity with data modeling, warehousing concepts, and schema design.• Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet | Data Infrastructure and Analytics industry, contributing to the modernization of data infrastructure and enabling advanced analytics capabilities. The position allows for remote work with flexible hours, providing a balance between professional growth and personal flexibility.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<p><span><strong>THIS IS WHERE GAME-CHANGING HAPPENS</strong></span></p><br><p><span><strong>BUSINESS TECHNOLOGY</strong></span></p><br><p><span><strong>Manager - Data Governance</strong></span></p><br><p><span>The team provides and supports the systems that glue the business together. That means maintaining all IT from the most basic desktop support to the most complex flight information systems. As importantly, they’re game changers for the industry. They bring us smart developments and advanced processes which revolutionise what we do. </span></p><br><p><span><strong>What you’ll deliver</strong></span></p><br><p><span>•</span><span>You'll define and update data governance policies, standards and procedures aligned to DA and regulatory requirements. You will design and operate governance forums, decision-making structures and escalation paths, embed governance controls into business processes, systems and project delivery lifecycle.</span></p><br><p><span>•You'll identify and assign data owners and stewards across critical data domains</span></p><br><p><span>•You'll define data quality standards, KPIs and monitoring mechanism an oversee identification and remediation of data quality issues</span></p><br><p><span>•You'll conduct data risk assessment and maintain risk registers</span></p><br><p><span>•You'll promote adoption of governance practices across the organization & deliver stakeholder training, communication and guidance on data governance</span></p><br><p><span><strong>What you bring</strong></span></p><br><p><span>•You should be educated to a Bachelor’s Degree in Information Management, Computer Science, Business Administration or related field (or equivalent experience), acquired 5 – 7 years of relevant & overall experience </span></p><br><p><span>•You should be Certified Data Management Professional – CDMP </span></p><br><p><span>•You’ll have 5+ years’ experience in data governance, data management or related discipline</span></p><br><p><span>•You’ll have an understanding of data quality, metadata management and data lineage principles & experience in conducting data risk assessments and managing remediation activities</span></p><br><p><span>• You’ll have the ability to design, develop and implement end-to-end data governance framework across complex operating environments </span></p><br><p><span>• You’ll have deep understanding of Data privacy laws and security frameworks</span></p><br><p><span>• You’ll have Data Management Principles (metadata management, data lineage, master data management and data lifecycle management </span></p><br><p><span>• You’ll have expertise in identifying data quality issues and driving remediation</span></p><br><p><span><strong>Life at Dubai Airports</strong></span></p><br><p><span>Fast-moving and fast-growing, Dubai Airports is a business that’s all about delivering great airport experiences, 24 hours a day. Life here means always pushing – and being pushed – to work better and smarter. With us, you’ll be encouraged to be the best you can be. You’ll be part of the team that connects the world. And at every opportunity, you’ll go beyond; delivering an advanced, innovative future for yourself and our business, and making an Impact that delivers for Dubai.</span></p><br><br> </div>
Position: Data Quality Analyst - Project<br><br>Company Overview:<br><br>Nexttec Technology is a leading outsourcing company that provides innovative technology solutions to businesses across various industries. With a strong commitment to excellence and customer satisfaction, we help our clients achieve their goals and stay ahead of the competition.<br><br>Job Overview:<br><br>As a Data Quality Analyst, you will be responsible for ensuring the accuracy, completeness, and consistency of data used by our clients. You will work closely with our data management team to identify and resolve any data quality issues, and implement processes to maintain high-quality data.<br><br>Key Responsibilities:<br><br>1. Develop tailored data cleansing procedures for the<br><br>organization.<br><br>2. Define criteria for identifying and categorizing data errors<br><br>and duplicates.<br><br>3. Establish and document protocols for data validation,<br><br>correction, and enrichment.<br><br>4. Conduct data cleansing activities per defined procedures<br><br>and verify accuracy.<br><br>5. Record all steps and methodologies for transparency and<br><br>future reference.<br><br>6. Collaborate with stakeholders to validate data corrections<br><br>and address issues.<br><br>7. Implement quality assurance measures and perform<br><br>regular audits to ensure data integrity.<br><br>8. Establish feedback mechanisms for stakeholders to report<br><br>data quality issues.<br><br>9. Oversee data quality during migration to Oracle Fusion and<br><br>manage associated risks.<br><br>Address identified errors, inconsistencies, and duplicates in<br><br><br>a systematic manner<br><br>Document all data cleansing activities, including changes<br><br><br>made and rationale behind decisions.<br><br>Create documentation outlining data cleansing protocols,<br><br><br>procedures, and guidelines for future reference.<br><br>Perform regular audits and checks to monitor data quality<br><br><br>and identify any new issues.<br><br>Qualifications:<br><br>Education: Bachelor's or master's degree in a relevant field<br><br>(e.g., data management, information systems, business<br><br>administration, computer science).<br><br>Experience :<br><br>Previous experience with IT Consulting preferrable<br><br><br>related Oracle ERP or any other large ERP Application.<br><br>Proven experience in data quality management, data<br><br><br>cleansing, or a related role.<br><br>Strong knowledge of data cleansing techniques and<br><br><br>best practices.<br><br>Proficiency with data quality management tools and<br><br><br>software used for cleansing etc.<br><br>Excellent analytical and problem-solving skills. Strong communication and collaboration skills. Functional domain experience in one or more Oracle<br><br><br>modules HCM, Finance, Procurement, and Projects.<br><br>Technical Knowledge: Knowledge around Data Model, Data<br><br>Migration, Data Quality within Oracle EBS and Oracle Fusion.<br><br>In-depth knowledge of data quality methodologies, tools, and<br><br>best practices.<br><br>Strong understanding of data quality standards and the ability<br><br>to implement and enforce them.<br><br>Excellent communication and interpersonal skills for effective<br><br>stakeholder management.<br><br>Experience in coordinating with technical teams for design and<br><br>development activities.<br><br>Ability to analyse complex business requirements and translate<br><br>them into practical data migration solutions.<br><br>Prior experience in managing risks and ensuring data integrity<br><br>throughout the migration process.<br><br>Relevant certifications in Oracle EBS and Oracle Fusion would<br><br>be a plus.<br><br>Strong understanding of data systems, databases, and data<br><br>governance.<br><br>Ability to work collaboratively with cross-functional teams.<br><br>Why Work with Us:<br><br>At Nexttec Technology, we value our employees and strive to create a positive and inclusive work culture. We offer competitive salaries, benefits, and opportunities for growth and career development. As a part of our team, you will have the chance to work with cutting-edge technologies and make a real impact on our clients' businesses.<br><br>If you are passionate about data quality and want to be a part of a dynamic and growing company, we would love to hear from you. Apply now to join our team as a Data Quality Analyst and take your career to the next level!
We are seeking a highly capable Power BI & Data Analytics Specialist to design, develop, and maintain enterprise reporting, analytics, and data solutions. This role is ideal for a hands-on data and BI professional with strong experience across Microsoft Power BI, Microsoft Fabric, SQL, ETL/ELT development, Azure data services, and enterprise reporting platforms.<br><br>You will play a key role in building scalable reporting environments, developing robust data integration pipelines, and delivering actionable business insights to support strategic and operational decision-making<br>.<br>Key Responsibilities Design, develop, and maintain interactive Power BI dashboards, reports, and semantic models Build and maintain scalable data warehouses, lakehouses, and data marts Develop and optimise ETL / ELT pipelines for data ingestion, transformation, and integration Manage data extraction and integration from ERP and enterprise systems using APIs, data entities, and automated integration methods Develop and maintain Power Automate workflows for report distribution, alerts, approvals, and business process automation Administer Power BI Gateways, dataset refresh schedules, workspace security, and Row-Level Security (RLS) Monitor and optimise reporting performance, scalability, and reliability Implement strong data governance, security, and data quality standards Collaborate with business stakeholders to define KPIs, reporting requirements, and analytical solutions Support executive reporting, operational analytics, and self-service BI initiativ<br>es<br>Requirements Bachelor’s Degree in Computer Science, Information Systems, Data Analytics, Engineering, or related field Minimum 6 years of experience in Business Intelligence, Data Engineering, or Analytics Strong hands-on experience in:Microsoft Power BIMicrosoft Fabric SQL Server / Advanced T-SQLData Warehousing ETL / ELT Development Azure Data Services / Azure Data Factory Power Automate Data Modelling (Star Schema / Snowflake) API Integration Strong experience with performance tuning, query optimisation, and data transformation Experience working with ERP platforms and enterprise-scale reporting environments Strong analytical, problem-solving, and stakeholder management ski<br>lls<br>Preferred Experience Experience with Dynamics 365 Finance & Operations (D365 F&O) or similar ERP platforms Experience with Power BI Embedded and embedded analytics solutions Exposure to enterprise application hosting, reporting automation, and large-scale data platf<br>orms
Roles and Responsibilities:<br>1. Establishing and updating the framework, methodology, and standards for data governance and management in the authority, including data quality, classification, description, security, sharing, and ensuring compliance with approved policies and legislation at the Mubadala government level.2. Monitoring compliance with frameworks and standards for data collection, processing, quality control, storage, transfer, and sharing, and supporting work teams to ensure their consistent application.3. Coordinating with internal and external stakeholders to collect, manage, and improve the quality of statistical data related to the authority's sectors of work, ensuring its alignment with national standards, and supporting its integration into dashboards, reports, and strategic initiatives, incollaboration with the relevant parties.4. Managing central data governance tools and ensuring their continuous development and updating.5. Coordinating with relevant work teams to ensure the availability of high-quality institutional data to support analysis, decision-making, and achieving the organization's strategic goals.6. Monitoring key performance indicators related to data governance and quality, and submitting periodic reports to senior management on the progress made in implementing data management programs.<br>Expected Outcomes<br>1. Maintain a high-quality and clean data pipeline that ensures findings are accurate.2. Ensure that all data handling and modelling adhere to privacy standards and ethical use of data to mitigate the legal risks.3. Translate complex statistical findings into simplified, compelling presentations for interested stakeholders.4. Report on the status of implementing automated data governance through establishing automated data frameworks to monitor data linkages and ensure compliance with the regulations and data governance principles.5. Design and maintain data structures.
Roles and Responsibilities:<br>1. Establishing and updating the framework, methodology, and standards for data governance and management in the authority, including data quality, classification, description, security, sharing, and ensuring compliance with approved policies and legislation at the Mubadala government level.2. Monitoring compliance with frameworks and standards for data collection, processing, quality control, storage, transfer, and sharing, and supporting work teams to ensure their consistent application.3. Coordinating with internal and external stakeholders to collect, manage, and improve the quality of statistical data related to the authority's sectors of work, ensuring its alignment with national standards, and supporting its integration into dashboards, reports, and strategic initiatives, incollaboration with the relevant parties.4. Managing central data governance tools and ensuring their continuous development and updating.5. Coordinating with relevant work teams to ensure the availability of high-quality institutional data to support analysis, decision-making, and achieving the organization's strategic goals.6. Monitoring key performance indicators related to data governance and quality, and submitting periodic reports to senior management on the progress made in implementing data management programs.<br>Expected Outcomes<br>1. Maintain a high-quality and clean data pipeline that ensures findings are accurate.2. Ensure that all data handling and modelling adhere to privacy standards and ethical use of data to mitigate the legal risks.3. Translate complex statistical findings into simplified, compelling presentations for interested stakeholders.4. Report on the status of implementing automated data governance through establishing automated data frameworks to monitor data linkages and ensure compliance with the regulations and data governance principles.5. Design and maintain data structures.
<h2 class="h5">Job description</h2>
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About the job Senior Oracle PL/SQL &amp - Data Warehouse Engineer
<p><strong>KEY RESPONSIBILITIES</strong></p><br>
<p>1. Database Design & Development</p><br>
<p> Design, develop, and maintain robust database solutions using Oracle and advanced PL/SQL, including stored <span>procedures, functions, packages, and triggers.</span></p><br>
<p> Build and optimise complex SQL queries to support high-volume data processing and analytical requirements.</p><br>
<p> Develop and manage data models and schema designs that are scalable, maintainable, and aligned with enterprise data <span>standards.</span></p><br>
<p> Apply bulk data processing techniques using advanced PL/SQL methodologies to ensure efficient handling of large <span>datasets.</span></p><br>
<p> Perform continuous performance tuning of SQL queries and data flows to meet operational SLAs and system <span>performance benchmarks.</span></p><br>
<p>2. Data Warehousing & Integration</p><br>
<p> Architect and implement data integration and data warehouse solutions that consolidate disparate data sources into <span>unified, reliable data environments.</span></p><br>
<p> Gather, analyse, and translate business and technical data integration requirements into scalable, production-ready <span>solutions.</span></p><br>
<p> Perform end-to-end data transformation and data analysis across complex and heterogeneous data sources.</p><br>
<p> Ensure data integrity, consistency, and accuracy throughout all stages of the data pipeline and warehouse lifecycle.</p><br>
<p> Work with cloud-based data platforms including Amazon Redshift and AWS Cloud services where applicable to extend <span>warehouse capabilities.</span></p><br>
<p>3. Reporting & Data Insights</p><br>
<p> Design and build reporting solutions using business intelligence platforms including MicroStrategy, Crystal Reports, and <span>SSRS.</span></p><br>
<p> Generate actionable data insights and structured reports to support business decision-making across various <span>operational domains.</span></p><br>
<p> Translate complex datasets into clear, structured outputs that meet the needs of both technical and non-technical <span>stakeholders.</span></p><br>
<p> Maintain and enhance existing report libraries, ensuring accuracy, performance, and alignment with evolving business <span>requirements.</span></p><br>
<p>4. Collaboration & Cross-Functional Engagement</p><br>
<p> Collaborate closely with technology and business teams across project workstreams to deliver shared objectives within <span>agreed timelines.</span></p><br>
<p> Participate in requirements-gathering sessions, technical design discussions, and solution reviews with cross-functional <span>stakeholders.</span></p><br>
<p> Proactively identify and resolve data-related issues, applying structured problem-solving approaches to minimise <span>impact on project delivery.</span></p><br>
<p> Contribute to documentation of technical designs, data flows, and solution architectures to ensure knowledge <span>continuity and auditability.</span></p><br>
<p><strong>QUALIFICATIONS & EXPERIENCE</strong></p><br>
<p>- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline.</p><br>
<p>- 5 to 7 years of hands-on professional experience in Oracle PL/SQL development and data warehouse engineering.</p><br>
<p>- Advanced SQL and PL/SQL knowledge with a demonstrated ability to write, optimise, and debug complex queries and <span>stored procedures.</span></p><br>
<p>- Strong experience in bulk data processing using advanced SQL and PL/SQL techniques in high-volume enterprise <span>environments.</span></p><br>
<p>- Solid proficiency in data modeling, schema design, and query optimisation for both OLTP and OLAP systems.</p><br>
<p>- Hands-on experience working with Oracle Database in production-grade enterprise settings.</p><br>
<p>- Proven expertise in gathering and analysing data integration requirements and delivering scalable, reliable solutions.</p><br>
<p>- Ability to build structured reports and generate data-driven insights using BI and reporting tools.</p><br>
<p>- Strong aptitude for identifying, diagnosing, and resolving data quality and data pipeline issues efficiently.</p><br>
<p>- Demonstrated track record of performance tuning across data flows, ETL processes, and SQL query execution.</p><br>
<p>- Excellent communication and interpersonal skills with experience working in cross-functional, collaborative team <span>environments.</span></p><br>
<p>- Aviation or airline domain experience is strongly preferred.</p><br>
<p>- Experience with Amazon Redshift, Hadoop, Hive, and Apache Spark frameworks is a significant advantage.</p><br>
<p>- Familiarity with AWS Cloud services and cloud-first data architecture patterns is preferred.</p><br>
<p><strong>WHAT WE OFFER</strong></p><br>
<p> Salary: AED 10,000 – 13,000 per month (based on experience and skill fit)</p><br>
<p> Work Visa: UAE employment visa sponsored and processed by the company</p><br>
<p> Annual Air Tickets: Return air tickets provided as per UAE Labour Law entitlements</p><br>
<p> Medical Insurance: Comprehensive medical insurance coverage</p><br>
<p> Gratuity: End-of-service gratuity as per UAE Labour Law</p><br>
<p> Paid Time Off: Annual leave, sick leave, and public holidays as per UAE regulations</p><br>
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Role: Data Engineer I (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $130/hour<br>Role Overview:We are hiring for one of our clients, seeking a Data Engineer to work on a contract basis. The role focuses on building and optimizing data pipelines to ensure efficient data flow between systems. You will design, construct, load, and optimize data structures and databases. Responsibilities include integrating data from various sources to support analytics and business intelligence initiatives.<br>Key Responsibilities:• Design, develop, and maintain scalable data pipelines to ingest, process, and transform large datasets.• Build and optimize data infrastructure to support real-time and batch processing workflows.• Collaborate with cross-functional teams to identify data requirements and ensure alignment with business goals.• Implement data quality checks and monitoring to maintain accuracy and reliability of data assets.• Troubleshoot and resolve issues in data pipelines, ensuring minimal downtime and maximum efficiency.<br>Required Skills & Qualifications:• Proficiency in Python, SQL, and experience with data pipeline frameworks such as Apache Airflow or similar.• Experience with cloud platforms (AWS, GCP, or Azure) and data warehousing solutions (Snowflake, Big Query, or Redshift).• Strong understanding of ETL processes and data modeling techniques.• Familiarity with stream processing technologies (Kafka, Spark Streaming) is a plus.• Ability to work independently in a remote environment with strong problem-solving skills.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development industry, contributing to the scalability and performance of data systems that drive business decisions. The project involves building robust infrastructure to support high-volume data processing and analytics.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!
Role: Data Engineer I (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $130/hour<br>Role Overview:We are hiring for one of our clients, seeking a Data Engineer to work on a contract basis. The role focuses on building and optimizing data pipelines to ensure efficient data flow between systems. You will design, construct, load, and optimize data structures and databases. Responsibilities include integrating data from various sources to support analytics and business intelligence initiatives.<br>Key Responsibilities:• Design, develop, and maintain scalable data pipelines to ingest, process, and transform large datasets.• Build and optimize data infrastructure to support real-time and batch processing workflows.• Collaborate with cross-functional teams to identify data requirements and ensure alignment with business goals.• Implement data quality checks and monitoring to maintain accuracy and reliability of data assets.• Troubleshoot and resolve issues in data pipelines, ensuring minimal downtime and maximum efficiency.<br>Required Skills & Qualifications:• Proficiency in Python, SQL, and experience with data pipeline frameworks such as Apache Airflow or similar.• Experience with cloud platforms (AWS, GCP, or Azure) and data warehousing solutions (Snowflake, Big Query, or Redshift).• Strong understanding of ETL processes and data modeling techniques.• Familiarity with stream processing technologies (Kafka, Spark Streaming) is a plus.• Ability to work independently in a remote environment with strong problem-solving skills.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development industry, contributing to the scalability and performance of data systems that drive business decisions. The project involves building robust infrastructure to support high-volume data processing and analytics.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!
Role: Data Engineer I (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $130/hour<br>Role Overview:We are hiring for one of our clients, seeking a Data Engineer to work on a contract basis. The role focuses on building and optimizing data pipelines to ensure efficient data flow between systems. You will design, construct, load, and optimize data structures and databases. Responsibilities include integrating data from various sources to support analytics and business intelligence initiatives.<br>Key Responsibilities:• Design, develop, and maintain scalable data pipelines to ingest, process, and transform large datasets.• Build and optimize data infrastructure to support real-time and batch processing workflows.• Collaborate with cross-functional teams to identify data requirements and ensure alignment with business goals.• Implement data quality checks and monitoring to maintain accuracy and reliability of data assets.• Troubleshoot and resolve issues in data pipelines, ensuring minimal downtime and maximum efficiency.<br>Required Skills & Qualifications:• Proficiency in Python, SQL, and experience with data pipeline frameworks such as Apache Airflow or similar.• Experience with cloud platforms (AWS, GCP, or Azure) and data warehousing solutions (Snowflake, Big Query, or Redshift).• Strong understanding of ETL processes and data modeling techniques.• Familiarity with stream processing technologies (Kafka, Spark Streaming) is a plus.• Ability to work independently in a remote environment with strong problem-solving skills.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development industry, contributing to the scalability and performance of data systems that drive business decisions. The project involves building robust infrastructure to support high-volume data processing and analytics.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!
Role: Data Engineer I (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $130/hour<br>Role Overview:We are hiring for one of our clients, seeking a Data Engineer to work on a contract basis. The role focuses on building and optimizing data pipelines to ensure efficient data flow between systems. You will design, construct, load, and optimize data structures and databases. Responsibilities include integrating data from various sources to support analytics and business intelligence initiatives.<br>Key Responsibilities:• Design, develop, and maintain scalable data pipelines to ingest, process, and transform large datasets.• Build and optimize data infrastructure to support real-time and batch processing workflows.• Collaborate with cross-functional teams to identify data requirements and ensure alignment with business goals.• Implement data quality checks and monitoring to maintain accuracy and reliability of data assets.• Troubleshoot and resolve issues in data pipelines, ensuring minimal downtime and maximum efficiency.<br>Required Skills & Qualifications:• Proficiency in Python, SQL, and experience with data pipeline frameworks such as Apache Airflow or similar.• Experience with cloud platforms (AWS, GCP, or Azure) and data warehousing solutions (Snowflake, Big Query, or Redshift).• Strong understanding of ETL processes and data modeling techniques.• Familiarity with stream processing technologies (Kafka, Spark Streaming) is a plus.• Ability to work independently in a remote environment with strong problem-solving skills.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development industry, contributing to the scalability and performance of data systems that drive business decisions. The project involves building robust infrastructure to support high-volume data processing and analytics.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!
Role: Data Engineer I (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $130/hour<br>Role Overview:We are hiring for one of our clients, seeking a Data Engineer to work on a contract basis. The role focuses on building and optimizing data pipelines to ensure efficient data flow between systems. You will design, construct, load, and optimize data structures and databases. Responsibilities include integrating data from various sources to support analytics and business intelligence initiatives.<br>Key Responsibilities:• Design, develop, and maintain scalable data pipelines to ingest, process, and transform large datasets.• Build and optimize data infrastructure to support real-time and batch processing workflows.• Collaborate with cross-functional teams to identify data requirements and ensure alignment with business goals.• Implement data quality checks and monitoring to maintain accuracy and reliability of data assets.• Troubleshoot and resolve issues in data pipelines, ensuring minimal downtime and maximum efficiency.<br>Required Skills & Qualifications:• Proficiency in Python, SQL, and experience with data pipeline frameworks such as Apache Airflow or similar.• Experience with cloud platforms (AWS, GCP, or Azure) and data warehousing solutions (Snowflake, Big Query, or Redshift).• Strong understanding of ETL processes and data modeling techniques.• Familiarity with stream processing technologies (Kafka, Spark Streaming) is a plus.• Ability to work independently in a remote environment with strong problem-solving skills.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development industry, contributing to the scalability and performance of data systems that drive business decisions. The project involves building robust infrastructure to support high-volume data processing and analytics.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!
Role: Data Engineer I (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $130/hour<br>Role Overview:We are hiring for one of our clients, seeking a Data Engineer to work on a contract basis. The role focuses on building and optimizing data pipelines to ensure efficient data flow between systems. You will design, construct, load, and optimize data structures and databases. Responsibilities include integrating data from various sources to support analytics and business intelligence initiatives.<br>Key Responsibilities:• Design, develop, and maintain scalable data pipelines to ingest, process, and transform large datasets.• Build and optimize data infrastructure to support real-time and batch processing workflows.• Collaborate with cross-functional teams to identify data requirements and ensure alignment with business goals.• Implement data quality checks and monitoring to maintain accuracy and reliability of data assets.• Troubleshoot and resolve issues in data pipelines, ensuring minimal downtime and maximum efficiency.<br>Required Skills & Qualifications:• Proficiency in Python, SQL, and experience with data pipeline frameworks such as Apache Airflow or similar.• Experience with cloud platforms (AWS, GCP, or Azure) and data warehousing solutions (Snowflake, Big Query, or Redshift).• Strong understanding of ETL processes and data modeling techniques.• Familiarity with stream processing technologies (Kafka, Spark Streaming) is a plus.• Ability to work independently in a remote environment with strong problem-solving skills.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development industry, contributing to the scalability and performance of data systems that drive business decisions. The project involves building robust infrastructure to support high-volume data processing and analytics.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!
Role: Data Engineer I (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $130/hour<br>Role Overview:We are hiring for one of our clients, seeking a Data Engineer to work on a contract basis. The role focuses on building and optimizing data pipelines to ensure efficient data flow between systems. You will design, construct, load, and optimize data structures and databases. Responsibilities include integrating data from various sources to support analytics and business intelligence initiatives.<br>Key Responsibilities:• Design, develop, and maintain scalable data pipelines to ingest, process, and transform large datasets.• Build and optimize data infrastructure to support real-time and batch processing workflows.• Collaborate with cross-functional teams to identify data requirements and ensure alignment with business goals.• Implement data quality checks and monitoring to maintain accuracy and reliability of data assets.• Troubleshoot and resolve issues in data pipelines, ensuring minimal downtime and maximum efficiency.<br>Required Skills & Qualifications:• Proficiency in Python, SQL, and experience with data pipeline frameworks such as Apache Airflow or similar.• Experience with cloud platforms (AWS, GCP, or Azure) and data warehousing solutions (Snowflake, Big Query, or Redshift).• Strong understanding of ETL processes and data modeling techniques.• Familiarity with stream processing technologies (Kafka, Spark Streaming) is a plus.• Ability to work independently in a remote environment with strong problem-solving skills.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development industry, contributing to the scalability and performance of data systems that drive business decisions. The project involves building robust infrastructure to support high-volume data processing and analytics.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!
We are seeking a hands-on Data Governance Engineer to design, implement, and automate enterprise data governance capabilities across modern cloud data platforms for one of our esteemed client in UAE - Dubai.<br>Mandatory experience:<br>• Hands-on implementation experience with Microsoft Purview, Collibra, Alation, or Informatica• Data Catalog, Metadata Management, and Data Lineage• Data Quality Engineering using Soda, Great Expectations, Collibra DQ, or similar tools• Strong SQL and Python scripting skills• Experience embedding governance controls into ETL/ELT pipelines and data platforms• Data Classification, Access Controls, and Stewardship workflows• Exposure to Azure, AWS, or GCP environments<br>Preferred:• Experience with Azure Data Factory, Databricks, Synapse, or Microsoft Fabric• DAMA CDMP, Purview, or cloud certifications• Experience with governance automation and CI/CD integration<br>This is a highly technical engineering role focused on implementation and automation, rather than policy or documentation-based governance.<br>Candidates with strong hands-on experience across Data Governance platforms, Data Quality, Metadata Management and Data Lineage engineering are encouraged to apply.<br>Applicants who closely match the above requirements are invited to share their profiles via Linked In or email.
We are seeking a hands-on Data Governance Engineer to design, implement, and automate enterprise data governance capabilities across modern cloud data platforms for one of our esteemed client in UAE - Dubai.<br>Mandatory experience:<br>• Hands-on implementation experience with Microsoft Purview, Collibra, Alation, or Informatica• Data Catalog, Metadata Management, and Data Lineage• Data Quality Engineering using Soda, Great Expectations, Collibra DQ, or similar tools• Strong SQL and Python scripting skills• Experience embedding governance controls into ETL/ELT pipelines and data platforms• Data Classification, Access Controls, and Stewardship workflows• Exposure to Azure, AWS, or GCP environments<br>Preferred:• Experience with Azure Data Factory, Databricks, Synapse, or Microsoft Fabric• DAMA CDMP, Purview, or cloud certifications• Experience with governance automation and CI/CD integration<br>This is a highly technical engineering role focused on implementation and automation, rather than policy or documentation-based governance.<br>Candidates with strong hands-on experience across Data Governance platforms, Data Quality, Metadata Management and Data Lineage engineering are encouraged to apply.<br>Applicants who closely match the above requirements are invited to share their profiles via Linked In or email.
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Welcome to PXGEO PXGEO is an innovative marine geophysical service provider combining the strengths of ocean bottom and towed streamer seismic data acquisition techniques to deliver seamless subsurface imaging for a sustainable future.<br> What's the role?<br> As a Data Analyst at PXGEO, you are responsible for supporting the development, design, integration, and deployment of business intelligence solutions, including data lakes, data warehouses, and analytics tools.<br> The role provides data management and analysis capabilities for current solutions, evaluates and implements new technologies to meet changing business needs in cost-effective ways, and ensures data accuracy and accessibility for decision-making purposes.<br> Key responsibilities include: Power BI Dashboard Development Design, build, and update interactive Power BI dashboards with a strong focus on clarity and user experience.<br> Create and optimize DAX measures, calculated columns, KPIs, and time‑intelligence metrics.<br> Build efficient data models (relationships, hierarchies, star schema basics).<br> Ensure dashboards are accurate, well‑documented, and delivered on time.<br> Business Intelligence and Analytics Assisting in the development and implementation of predictive and prescriptive analytics models to support business goals and objectives.<br> Performing and supporting data analysis, data mining, and data modeling activities to support business decision-making and identify trends, patterns and anomalies in business data.<br> Developing and maintaining reports, dashboards, and visualizations using BI tools, ensuring data accuracy and timely delivery to stakeholders.<br> Collaborating with business stakeholders to gather requirements, define KPIs, and create analytics solutions that address their needs.<br> Data Governance & Complianc e Ensuring compliance with data privacy and security regulations and guidelines.<br> Collaborating with the IT team to implement and maintain data access controls and security measures.<br> Who are we looking for?<br> Bachelor’s degree in Computer Science, Statistics, Informatics, Information Systems, or a related field, At least 2 years of experience in data analytics and BI roles.<br> Technical knowledge of data analytics tools and technologies, such as SQL, Power BI Basic knowledge of data lakes and data warehouses.<br> Basic knowledge of Python.<br> Proficiency in Power BI design and visualization.<br> Working knowledge of finance.<br> Solid understanding of data modeling.<br> Certification in a relevant data analytics or BI framework is a plus.<br> Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.<br> Excellent team player with strong collaboration skills to engage with both IT and business staff.<br> Strong English verbal and written communication skills.<br> Excellent problem investigation and solving abilities.<br> Ability to manage time and prioritize workload under pressure.<br> Highly disciplined and adept at producing and maintaining documentation.<br> Ability to work outside of normal office hours, when required by the business.<br></span> </div>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><ul><li><p>Design and develop conceptual, logical, and physical data models</p></li><li><p>Collaborate with cross-functional teams to gather and understand data requirements</p></li><li><p>Optimize data models for performance and scalability</p></li><li><p>Ensure data integrity and quality throughout the data modelling process</p></li><li><p>Provide guidance and support on data modelling best practices</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Proven experience working with data modelling tools such as Erwin, ER Studio, or equivalent</p></li><li><p>Strong understanding of data modelling concepts and methodologies</p></li><li><p>Excellent problem-solving and analytical skills</p></li><li><p>Ability to work effectively in a fast-paced environment</p></li><li><p>Good communication and interpersonal skills</p></li></ul><p></p></section>