168 Data Quality Analyst jobs in the United Arab Emirates
Data Quality Analyst
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Senior Data Quality Analyst – Capgemini
About Capgemini
Capgemini is a global leader in consulting, digital transformation, technology, and engineering services. With a presence in over 50 countries and a strong heritage of innovation, Capgemini enables organizations to realize their business ambitions through an array of services from strategy to operations. Our collaborative approach and a people-centric work culture have made us a partner of choice for clients across industries.
Role Overview
We are seeking a highly skilled Senior Data Quality Analyst with a robust background in designing, implementing, and maintaining data quality frameworks leveraging Python or Collibra. The ideal candidate will be adept at ensuring data accuracy, consistency, completeness, and reliability across large-scale cloud-based platforms, especially within Azure Databricks environments. This role requires expertise in automated data quality assurance, a deep understanding of data governance, and hands-on experience integrating quality controls into modern data pipelines.
The Senior Data Quality Analyst will be embedded within an agile squad dedicated to a specific business mission while contributing to a broader program comprising 4 to 8 interconnected squads. Collaboration, technical leadership, and a continuous improvement mindset are essential as you work cross-functionally to elevate the organization's data quality standards.
Key Responsibilities
1. Development & Integration
- Design, develop, and implement automated data quality checks using Python scripts and libraries or Collibra Data Quality components.
- Integrate data quality validation logic within existing ETL/ELT pipelines operating on Azure Databricks, ensuring quality gates are consistently enforced across all data flows.
- Develop and maintain reusable Python modules that perform anomaly detection, schema validation, and rule-based data quality checks to enable rapid scaling of quality coverage.
- Collaborate with data engineering teams to embed continuous quality controls throughout the data ingestion, transformation, and consumption lifecycle.
- Support the deployment and management of Collibra-based data quality solutions to automate governance workflows and stewardship activities.
2. Data Quality Management
- Define, measure, and rigorously enforce data quality metrics, thresholds, and Service Level Agreements (SLAs) tailored to business-critical datasets.
- Utilize Collibra to manage and operationalize data governance workflows, maintain business glossaries, and delineate stewardship responsibilities.
- Monitor the integrity of data pipelines for completeness, accuracy, timeliness, and consistency across distributed and cloud-native environments.
- Conduct detailed root cause analyses for complex data quality issues, collaborating with engineers and domain experts to drive permanent remediation and prevention strategies.
- Implement and continuously refine monitoring frameworks, utilizing dashboards and alerting systems (built using Python and Collibra integrations) for real-time visibility into key data quality indicators.
3. Support & Operations
- Act as a Level 2/3 escalation point for data quality incidents, troubleshooting issues and coordinating with other agile squads and technical teams for rapid resolution.
- Work closely with product owners, business analysts, and key stakeholders to understand evolving data requirements and ensure quality expectations are aligned and met.
- Maintain and optimize operational dashboards for ongoing data quality monitoring, leveraging both Python-based and Collibra-integrated solutions.
- Participate actively in agile ceremonies, including sprint planning, daily standups, reviews, and retrospectives, contributing to squad goals and continuous delivery improvements.
4. Governance & Best Practices
- Establish, document, and evangelize data quality standards, validation frameworks, and best practices across squads and the broader data organization.
- Maintain comprehensive documentation on validation rules, automated test cases, and quality assurance procedures, ensuring transparency and repeatability.
- Mentor, coach, and upskill junior data engineers and analysts in data quality concepts, tools, and processes to foster a quality-first culture.
- Ensure strict compliance with data governance, privacy, and security policies by leveraging Collibra's governance and stewardship frameworks.
- Continuously assess emerging technologies, tools, and methodologies for potential enhancement of the data quality ecosystem.
Qualifications
- Bachelor's or Master's degree in Computer Science, Data Management, Information Systems, or a closely related field.
- Years of progressive experience in data quality engineering, data management, or related data roles within complex technology environments.
- Demonstrable expertise in Python, including the development of reusable data quality and validation libraries.
- Extensive hands-on experience with Azure Databricks, including cloud-native data processing, ETL/ELT orchestration, and distributed computing concepts.
- Proficiency with Collibra Data Quality platform or equivalent data governance and stewardship tools.
- Strong track record working in agile environments, participating in cross-functional teams, and adapting to rapidly evolving project requirements.
- Excellent analytical, problem-solving, and communication skills, with the ability to convey complex technical topics to both technical and non-technical audiences.
Preferred Certifications (One or More)
- Databricks Certified Data Engineer Associate or Professional
- Microsoft Certified: Azure Data Engineer Associate
- Python Institute Certifications (PCAP, PCPP)
- Collibra Ranger or Collibra Data Quality Steward Certifications
Key Skills & Competencies
- Deep understanding of data quality frameworks, methodologies, and industry best practices
- Hands-on experience building automated data quality tests using Python, PySpark, or similar open-source libraries
- Expertise in designing quality validation steps within ETL/ELT data pipelines for large volumes of structured and semi-structured data
- Familiarity with cloud data ecosystems, especially Azure and Databricks
- Proven ability to operationalize and scale data governance using Collibra or comparable tools
- Experience with dashboarding, data visualization, and monitoring tools for real-time data quality tracking
- Strong collaboration, leadership, and mentoring abilities within agile squads or matrix teams
- Knowledge of data privacy, security, and regulatory compliance requirements
- Ability to drive innovation and continuous improvement in data quality processes
What We Offer
- Opportunity to work on cutting-edge data platforms and technologies in a global, multicultural environment
- Collaborative and agile work culture with empowering career growth opportunities
- Competitive remuneration, benefits, and professional certification support
- Access to Capgemini's global learning platforms, mentorship programs, and technology communities
- Exposure to high-impact projects with Fortune 500 clients
Senior Data Management Specialist - Data Governance
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Job Title: Data Governance Expert
We are seeking a highly skilled professional to lead our data management initiatives.
Key Responsibilities:
- Design and implement robust data governance frameworks.
- Develop and maintain high-quality metadata management systems.
- Collaborate with cross-functional teams to align data strategy with business objectives.
- Provide guidance on data lineage, stewardship practices, and compliance requirements.
Requirements:
- 7-12 years of overall experience in data management.
- 3 years of hands-on experience with Informatica IDMC.
- 5 years in Data Quality and Governance.
- Experience working with data lakes and modern data architectures.
Preferred Qualifications:
- Familiarity with cloud-based data platforms.
- Strong understanding of data security and compliance regulations.
- Ability to work in a fast-paced environment and adapt to changing priorities.
About the Role:
This is an excellent opportunity for a seasoned data management professional to join our team and contribute to shaping our data strategy.
What We Offer:
- A dynamic and collaborative work environment.
- Opportunities for growth and professional development.
- Competitive compensation and benefits package.
Data Management Specialist
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Job Title: Data Management Specialist
Job Description:We are seeking a highly skilled Data Management Specialist to join our team. The successful candidate will be responsible for managing data within our product information management system, ensuring it is up-to-date and accurate.
The ideal candidate will have excellent organizational skills, be able to multitask effectively, and possess strong communication and interpersonal skills.
Key Responsibilities:- Manage data within the product information management system
- Ensure data accuracy and completeness
- Work closely with technical teams to ensure seamless integration
- Support CAD designers and graphic designers as needed
Required Skills:
- Excellent product knowledge and experience with the AX/code creation system
- Previous work experience in AutoCAD and Photoshop (desired)
- Strong analytical and problem-solving skills
- Ability to work independently and as part of a team
- Opportunity to work with a dynamic team
- Professional development and growth opportunities
- A competitive compensation package
Data Management Specialist
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Talentera Inc. is seeking a skilled professional to join our team. This individual will be responsible for managing and maintaining records, providing exceptional customer service, and collaborating with colleagues to achieve business objectives.
Data Management Specialist
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We are seeking a highly skilled Manager - Risk Data Management to join our team. As a key member of our organization, you will be responsible for managing risk data, including capturing, organizing, storing, and analyzing it for the development, validation, and implementation of Credit Risk Models and Scorecards.
You will provide advanced quantitative analytics support to our overall Risk Management function, formulating management techniques for quality data collection to ensure adequacy, accuracy, and legitimacy of data.
Your role will involve ensuring the implementation of risk rating models and scorecards in compliance with IFRS 9 and Basel requirements, engaging in Risk Architecture projects, and developing and implementing AI analytics to analyze risk data, use machine learning techniques to identify patterns, trends, and potential risks.
You must have strong knowledge of Information Technology systems, Risk Management systems, tools, applications, and relational database management system software development and ability to code.
The ideal candidate will have excellent Credit Risk modelling analytical and research skills, experience working with large and complex data sets, good knowledge of financial markets and products, and awareness of the latest analytical techniques.
Key Responsibilities:
- Manage and maintain data for risk models implementation and scorecards development.
- Devising and implementing efficient and secure procedures for data management and analysis with attention to all technical aspects.
- Liaise and engage with external vendors and IT team for project implementation.
- Good quantitative analysis and finance skills experience of working with Statistical Software (SAS/Python/R).
Required Skills and Qualifications:
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
- Masters degree is preferred
- Minimum 5 years of total experience in handling data management projects, data science, machine learning model development within banking and finance sector preferably in Credit Risk domain i.e. Basel II and IFRS 9 Risk models development and implementation risk analytics reporting.
Benefits:
This role offers an exciting opportunity to work in a dynamic environment, where you will have the chance to utilize your skills and expertise to drive business success. You will be part of a talented team, working on challenging projects, and contributing to the growth and development of our organization.
),Data Management Specialist
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Job Summary:
- This role is responsible for maintaining customer and account databases by accurately entering new and updated information.
The ideal candidate will prepare source data for computer entry, compile and sort information, prioritize tasks to meet deadlines, and process customer and account source documents.
They will also resolve deficiencies using standard procedures and enter data into the system according to established protocols.
Maintaining data integrity is crucial, and the candidate will verify entered data, correct errors, and secure information through regular backups.
Ultimately, this position contributes to team success by following policies and procedures, reporting changes, and upholding confidentiality.
Key Responsibilities:
- Maintain accurate and up-to-date customer and account databases.
- Prepare source data for computer entry and compilation.
- Prioritize tasks to meet deadlines and ensure efficient workflow.
- Resolve discrepancies and errors in a timely manner.
- Enter data into the system according to established protocols and standards.
Requirements:
- Minimum 2 years of experience as a data entry specialist with a focus on database management.
- Strong analytical and problem-solving skills.
- Ability to maintain accuracy and attention to detail.
- Excellent communication and interpersonal skills.
Data Management Specialist
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Description:
We are seeking an experienced and detail-oriented individual to join our team as a Data Entry Assistant. In this role, you will be responsible for ensuring the accurate and efficient transfer of data between various systems and databases within our e-commerce platform.
Key Responsibilities:
- Data Import/Export: Transfer data between internal and external systems, databases, and platforms, ensuring data accuracy and integrity.
- Data Validation: Review and validate data to identify and correct any errors or inconsistencies, ensuring high data quality.
- Inventory Management: Assist in updating and managing product listings, pricing, and inventory levels in real-time.
- Data Transformation: Convert data from various formats (e.g., CSV, Excel) into the appropriate format for our databases and systems.
- Data Mapping: Create and maintain data mapping documents to ensure proper data flow between systems and platforms.
- Automation: Identify opportunities to automate data loading and transfer processes to improve efficiency and reduce manual efforts.
- Data Maintenance: Regularly monitor and maintain data to ensure accuracy, completeness, and timeliness.
- Collaboration: Work closely with cross-functional teams such as IT, marketing, and operations to meet data-related requirements and resolve issues.
- Reporting: Generate and distribute reports on data-related activities, such as data transfer success rates and data quality metrics.
Requirements:
- Proven experience in data management, data loading, or similar roles, preferably in an e-commerce environment.
- Proficiency in data manipulation tools and languages such as SQL, Excel, and scripting languages.
- Strong attention to detail and a commitment to data accuracy.
- Problem-solving skills and the ability to troubleshoot data-related issues.
- Excellent communication and collaboration skills.
- Knowledge of e-commerce platforms and systems is a plus.
Benefits:
This is a full-time position that requires reliable commute or willingness to relocate with an employer-provided relocation package.
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Data Management Specialist
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BlackStone eIT is seeking a detail-oriented Data Management Specialist to join our innovative team. As a Data Management Specialist, you will play a crucial role in ensuring the accuracy, reliability, and accessibility of our data assets. You will work closely with various departments to manage data quality, data governance, and data integration processes.
Your expertise will contribute to optimizing data workflows, improving data utilization, and supporting decision-making across the organization. If you are passionate about data management and looking to make a significant impact in a collaborative environment, this position is for you
Responsibilities
- Monitor and maintain data quality standards across various data systems
- Implement data governance policies and procedures to ensure compliance and security
- Facilitate data integration projects, collaborating with IT and business teams
- Conduct regular audits and assessments of data assets to identify and resolve discrepancies
- Assist in developing and maintaining documentation for data processes and procedures
- Provide training and support to users on data management tools and best practices
- Stay informed about industry trends and emerging technologies in data management
- Bachelor's degree in Information Technology, Computer Science, Data Management, or related field
- At least 3-5 years of experience in data management or a similar role
- Strong knowledge of data governance, data quality, and data integration practices
- Experience with database management systems (e.g., SQL, Oracle, NoSQL)
- Familiarity with data analysis and visualization tools
- Excellent analytical and problem-solving skills
- Strong communication skills, with the ability to work collaboratively across teams
- Detail-oriented and highly organized, with the ability to manage multiple tasks efficiently
- Knowledge of data privacy regulations and compliance standards is a plus
- Improved data processing efficiency by 15% using Python.
- Developed and implemented data mining models using Python and scikit-learn, resulting in a 10% increase in customer retention.
- Designed and built interactive dashboards in Tableau, providing real-time insights to stakeholders
- Managed and maintained SQL databases, ensuring data integrity and availability.
- Paid Time Off
- Training & Development
- Performance Bonus
- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Information Technology
- Industries IT Services and IT Consulting
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#J-18808-LjbffrData Management Specialist
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Policy Administrator: Data Management and Quality Assurance
The Policy Administrator plays a critical role in ensuring the accuracy and timeliness of data management and quality assurance. This involves managing complex tasks related to controlling data-entry, data-analysis, and card-printing/processing information to meet clients' preset standards of service.
Key Responsibilities:
- Manage inclusion of new members into client schemes and database systems.
- Perform data error-correction, member upgrade, member deletions, and alteration of client databases to meet client requirements.
- Maintain high-quality card-printing to satisfy clients' preset standards of service.
- Issue periodic or daily reports on performance.
- Meet further complex requirements, such as designing, photo-editing, etc.
- Keep accurate records on various activities for internal and external review.
Required Skills and Qualifications:
- Bachelor's Degree; Medical background preferred.
- Knowledge in Project Coordination is a plus.
- Physically fit to carry out duties.
- Legally permitted to work in the country of operations.
- Fluency in MS Office (Excel, Word, Outlook, PowerPoint) and general internet navigation and research skills.
Benefits:
We offer a dynamic work environment where you can grow and develop your skills. Our employees are valued and respected, and we strive to create a workplace that is inclusive and supportive.
We believe in empowering our employees to take control of their careers and personal development. We provide opportunities for training and professional growth, as well as a global environment that encourages international mobility and career progression.
Caring for our employees' health and wellbeing is a top priority. We offer a range of programs and benefits to support your physical and mental health, including flexible working arrangements and Work Well initiatives.
Join us and be part of a diverse and inclusive workforce where everyone feels empowered to explore, grow, and shape a better future for our customers.
data management specialist
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Job Description:
We are seeking a highly skilled Senior Data Management Specialist with a strong background in Informatica Intelligent Data Management Cloud (IDMC) and Data Quality & Governance. The ideal candidate will bring deep expertise in data lakes enterprise data management and at least one end-to-end IDMC implementation experience.
Key Responsibilities:
- Lead and support IDMC implementation projects.
- Ensure high standards of data quality governance and compliance.
- Design and manage data lake solutions.
- Collaborate with cross-functional teams to align data strategy with business objectives.
- Provide guidance on metadata management data lineage and stewardship practices.
Required Qualifications:
- 7-12 years of overall experience.
- 3 years of hands-on experience with Informatica IDMC.
- 5 years in Data Quality and Governance.
- Experience working with Data Lakes and modern data architectures.
Vertical:
Technology
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