157 Data Quality jobs in the United Arab Emirates

Location: Dubai

Duration: Yearly Renewable Contract

Need to have strong Data Quality experience

Responsibilities

• Perform problem identification, resolution, loss reporting and continuous improvement
• Design and implement methods for process control, process improvement, testing and inspection
• Develop, execute, and analyze quality reporting measures
• Participate in internal and external quality audits

About the Role:

Data Quality Expert responsible for designing, implementing, and optimizing data solutions to support business intelligence and analytics for school transport. This role focuses on data architecture, integration, quality, and advanced analytics, ensuring that the company leverages data as a strategic asset for decision-making and operational excellence

Key Responsibilities:

• Ensure Data Accuracy: Maintain and ensure the accuracy of student data in transport management systems, verifying that all information is current and correct.
• Data Updates: Regularly update student data and ensure that changes are reflected promptly across all relevant systems.
• Support Data Improvement Initiatives: Actively support data quality improvement initiatives, working closely with the transport and operational teams to ensure continuous data enhancement.
• Route Optimization Support: Assist with route optimization activities by providing accurate and timely data analysis to improve transportation efficiency and effectiveness.
• Perform regular data audits to identify and resolve discrepancies or errors in the student transport data.
• Develop predictive models (Python, R, TensorFlow) for business use cases.
• Automate insights using Power BI, Tableau, or custom dashboards.
• Collaborate with data scientists to operationalize AI/ML solutions.
• Design and implement scalable data pipelines (ETL/ELT) for structured and unstructured data.
• Develop and maintain data models (dimensional, relational, NoSQL) to support analytics.
• Optimize data storage solutions (data lakes, warehouses, real-time databases).
• Ensure interoperability between cloud (Azure, AWS) and on-prem systems.

What We're Looking For:

• 5+ years Experience with data management.
• Knowledge of data improvement methodologies and route optimization strategies.
• Industry experience in transportation, logistics, automotive, or large-scale enterprise transformation.
• Proficiency in Excel: Advanced knowledge of Excel, including the ability to work with formulas, pivot tables, and data analysis tools.

Role Description

This is a contract role for a Data Quality Engineer, based on-site in Abu Dhabi. The Data Quality Engineer will be responsible for ensuring the quality of data, implementing quality control procedures, conducting quality assurance tests, and managing product quality. The role involves working closely with different teams to maintain and enhance quality standards across all data-related processes.

Qualifications

• Strong analytical and problem-solving abilities
• Excellent communication and teamwork skills
• Proven experience in a data quality role
• Bachelor's degree in Engineering, Computer Science, or a related field

Data Quality Expert responsible for designing, implementing, and optimizing data solutions to support business intelligence and analytics for school transport. This role focuses on data architecture, integration, quality, and advanced analytics, ensuring that the company leverages data as a strategic asset for decision-making and operational excellence.

• Ensure Data Accuracy: Maintain and ensure the accuracy of student data in transport management systems, verifying that all information is current and correct.
• Data Updates: Regularly update student data and ensure that changes are reflected promptly across all relevant systems.
• Support Data Improvement Initiatives: Actively support data quality improvement initiatives, working closely with the transport and operational teams to ensure continuous data enhancement.
• Route Optimization Support: Assist with route optimization activities by providing accurate and timely data analysis to improve transportation efficiency and effectiveness.
• Perform regular data audits to identify and resolve discrepancies or errors in the student transport data.
• Develop predictive models (Python, R, TensorFlow) for business use cases.
• Automate insights using Power BI, Tableau, or custom dashboards.
• Collaborate with data scientists to operationalize AI/ML solutions.
• Design and implement scalable data pipelines (ETL/ELT) for structured and unstructured data.
• Develop and maintain data models (dimensional, relational, NoSQL) to support analytics.
• Optimize data storage solutions (data lakes, warehouses, real-time databases).
• Ensure interoperability between cloud (Azure, AWS) and on-prem systems.

• 5+ years experience with data management.
• Knowledge of data improvement methodologies and route optimization strategies.
• Industry experience in transportation, logistics, automotive, or large-scale enterprise transformation.
• Proficiency in Excel: Advanced knowledge of Excel, including formulas, pivot tables, and data analysis tools.

• Associate

• Full-time

• Information Technology and Analyst

• IT System Data Services and Transportation, Logistics, Supply Chain and Storage

Job Title:
ETL / Data Quality Engineer – Abu Dhabi (On-Site, 6 Months)

We are hiring an experienced
ETL / Data Quality Engineer
to be outsourced to one of our esteemed clients, a leading multi national consulting firm, to be working with them on a project with governmental agency in Abu Dhabi. This is a
contractual assignment
offering a great opportunity to work on a high-impact project in a dynamic environment.

key Responsibilities:-

• Design, develop, and execute ETL scripts and jobs to ingest data from multiple sources into a target database.
• Implement data quality rules within ETL workflows to ensure data accuracy, consistency, and reliability.
• Participate in the data assessment phase to identify, document, and resolve data quality issues.
• Collaborate with business and technical stakeholders to understand requirements and deliver high-quality solutions.
• Troubleshoot and optimize ETL workflows for scalability and performance.

Required Skills & Experience:-

• Proven hands-on experience in ETL development (Informatica, Talend, SSIS, or similar).
• Strong expertise in SQL, stored procedures, and database design (Oracle, SQL Server, PostgreSQL, etc.).
• Solid understanding of data quality frameworks, validation techniques, and data governance principles.
• Ability to manage large and complex datasets from diverse sources.
• Strong analytical and problem-solving skills.
• Previous experience with government or large-scale enterprise projects is an advantage.

Engagement Details:-

• Duration:
  6 months (extendable)
• Engagement Type:
  Outsourced, Time & Material (Rate Card)
• Location:
  On-Site – Abu Dhabi, UAE

If you are passionate about working with data and ensuring its quality, we would like to hear from you.

Role: Informatica Data Quality Specialist (IDQ)

Experience - 4+ years of experience as IDQ

Location - Abu Dhabi, onsite

Job Description

• Expert in Data Analysis using Informatica Data Quality Tool
• Expert in creating Profiles, Mappings and Scorecards using IDQ and create Data Quality issue documents.
• Proficient in writing SQL queries
• Implement data governance policies and procedures using Informatica EDC and Axon.
• Work with business stakeholders and IT teams to ensure that data is properly managed, secured, and governed.
• Define and manage data lineage and impact analysis using EDC and Axon.
• Develop and maintain data quality rules and monitor compliance using IDQ, EDC and Axon.
• Manage metadata and data dictionaries using EDC.
• Collaborate with other data governance specialists to develop and maintain data governance frameworks and best practices.
• Provide training and support to business stakeholders and IT teams on IDQ,EDC and Axon.

Qualification

• Bachelor's degree in computer science, Information Systems, or related field.
• Minimum of 4+ years of experience in data Quality and governance with Informatica DQ, EDC and Axon.
• Strong understanding of data governance principles, processes, and best practices.
• Excellent communication and interpersonal skills.
• Strong analytical and problem-solving skills.
• Ability to work effectively in a team environment.

Job Purpose:

To develop departmental plans and work mechanisms and contribute to achieving the administration's goals through supervision and follow-up of all related operational activities in the associated operational plan.

Qualifications and Experience:

Minimum Qualifications:

• PhD in Information Technology (0 years experience required)
• Master's in Information Technology (3 years experience required)
• Bachelor's in Information Technology (6 years experience required)

Professional Certifications (examples):

• Oracle 12c Administration
• Hyperledger Fabric v1.4: Architecture, Design and Deployment
• Windows PowerShell 10961 Automation for Administration
• Cybersecurity Fundamentals
• Microsoft 365 Fundamentals
• Microsoft Azure Fundamentals
• Oracle 12c R2 RAC Administration
• Microsoft Azure Database Administration
• Artificial Intelligence for Business Professionals
• Java EE 7 Ed 1 Platform Application Development
• SQL 2016 Data Warehouse Implementation
• ISO/IEC 27002 Courses & Lead Manager Certification
• Oracle Cloud Database
• Certified AI Practitioner
• Microsoft Office 365 Administration
• Cybersecurity Operations Certification
• IT Risk & Control Certification
• Certified Network Associate
• Cybersecurity Fundamentals Professional Certification
• Certified Ethical Hacking & Forensics Professional
• Certified IT Privacy Professional
• ISO/IEC 27001 Lead Auditor Certification
• Certified Information Privacy Manager
• Microsoft Azure IoT Developer
• Introduction to Cybersecurity
• Introduction to Python
• Introduction to Oracle Database Programming Language
• Certified IoT Practitioner
• Oracle Database Administration Workshop

Key Responsibilities:

• Carry out regular audits and assessments of data quality to identify areas for improvement.
• Manage data management tools and technologies to support quality and compliance.
• Prepare proposals for the department's strategic plan, contribute to its development, and monitor implementation of operational plans to ensure alignment with goals.
• Ensure quality standards and controls for storing, transferring, and using data are applied, and submit periodic reports to the Director of Data Management.
• Monitor performance indicators regularly and prepare achievement reports for submission to the Director.
• Participate in preparing the department's budget in coordination with relevant units.
• Develop and deliver training on data management and quality best practices.
• Develop and implement data governance policies and standards to ensure accuracy, consistency, and security of data.
• Strengthen relationships with internal and external partners to ensure services are delivered according to best standards.
• Provide necessary support to the Director of Data Management and perform any other tasks assigned.
• Execute data quality management processes including data cleansing, refinement, and validation.
• Review levels of data quality and accuracy according to classifications and global quality standards, and provide recommendations with improvement solutions when necessary.
• Develop programs that enhance continuous learning, training, and motivation for teams to ensure high-quality service delivery.
• Establish guiding principles and frameworks for managing operations and improving productivity.
• Any other responsibilities related to the department's nature of work or assigned by the Director of Data Management.

Data Analysis Specialist

We are seeking a skilled data analysis specialist to join our team. The ideal candidate will have expertise in developing and implementing data-driven solutions.

The successful candidate will work closely with stakeholders to identify business needs and develop effective strategies to address them.

• Key Responsibilities:
• Develop and implement data analysis models to inform business decisions
• Analyze large datasets to identify trends and patterns
• Design and implement data visualization tools to communicate insights effectively
• Collaborate with cross-functional teams to integrate data analysis into business processes

Required Skills:

• Advanced knowledge of statistical techniques and machine learning algorithms
• Experience with data visualization tools such as Tableau or Power BI
• Strong programming skills in languages such as Python or R
• Ability to communicate complex data insights to non-technical stakeholders

Benefits:

• Opportunity to work on challenging projects and collaborate with experienced professionals
• Professional development opportunities, including training and mentorship
• A dynamic and inclusive work environment

Job Title: Data Expert

At our organization, we are seeking a talented Data Expert to join our team. As a key member of our data science team, you will play a vital role in helping us make informed decisions by leveraging data insights and analysis.

Key Responsibilities:

• Design and implement advanced statistical models to analyze complex data sets.
• Develop and maintain databases to store and manage large datasets.
• Collaborate with cross-functional teams to identify business needs and develop solutions.
• Communicate findings and insights effectively to both technical and non-technical stakeholders through reports, presentations, and visualizations.
• Stay up-to-date with the latest advancements in data science, machine learning, and AI technologies.

Required Skills and Qualifications:

• Bachelor's degree in statistics, applied mathematics, or related discipline.
• Minimum of 4-6 years of experience in a similar role.
• Proficiency with data mining, mathematics, and statistical analysis.
• Advanced pattern recognition and predictive modeling experience.
• Experience with Excel, Tableau/Looker Studio, SQL, and programming languages such as Python and R.
• Storytelling and data visualization skills.
• Comfort working in a dynamic, data-oriented team with several ongoing concurrent projects.

Preferred Qualifications:

• Master's degree in stats, applied math, or related discipline.
• Experience with NoSQL, Pig, Hive, and PySpark/Big Query.