Data Governance Engineer

About Cognizant

Cognizant is one of the world’s leading professional services companies, helping clients modernize technology, reimagine processes, and transform experiences so they can stay ahead in a rapidly changing world. We combine deep industry expertise with innovative technology solutions to help organizations unlock the value of their data and accelerate business outcomes.

Job Summary

We are seeking a Data Governance/Quality Engineer to join a large multinational organization operating across diverse business domains. This hybrid role is focused on building reliable data solutions, strengthening Data Governance and Data Lineage capabilities, and enabling trusted analytics across the enterprise.

The successful candidate will bring strong expertise in Data Quality, Collibra Data Quality, Python engineering, and PL/SQL development. You will work closely with data stewards, governance teams, analytics stakeholders, and engineering teams to design, implement, and optimize data quality solutions that improve confidence in enterprise data and support critical business decision-making.

In This Role, You Will:

• Design data quality solutions using Collibra Data Quality capabilities and custom Python logic to detect, measure, and remediate data issues across critical enterprise datasets
• Develop robust Python components that automate data profiling, anomaly detection, and rule-based validations to ensure trusted data is available for analytics and reporting
• Build and optimise PL/SQL procedures, functions, and queries supporting complex data transformations, reconciliation processes, and high-performance data pipelines
• Implement repeatable data quality controls that improve completeness, accuracy,
• Integrate data quality outputs — including scores, exceptions, and remediation status — into dashboards, operational workflows, and business processes
• Troubleshoot and resolve production incidents involving data quality pipelines, Python services, and PL/SQL processes through root cause analysis and durable corrective actions
• Optimise data quality solutions for performance, scalability, and reliability through query tuning, Python code improvements, and Collibra configuration enhancements

Work Model

We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programmes.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

What You Need to Have to Be Considered

• Strong practical experience with Collibra Data Quality, including configuration of rules, scorecards, monitoring capabilities, and integration patterns within enterprise data landscapes
• Advanced Python development skills with expertise in modular architecture, error handling, unit testing frameworks, automation, and efficient processing of large structured datasets
• Solid PL/SQL expertise, including complex query development, performance tuning, set-based processing, stored procedures, functions, and data transformation logic
• Strong understanding of Data Quality principles, dimensions, metrics, and enterprise data governance practices
• Proven knowledge of Data Governance, Data Lineage, and Metadata Management frameworks and how they guide the design of sustainable control environments
• Experience designing and implementing scalable data quality monitoring and remediation processes
• Familiarity with version control systems and collaborative software development workflows

These Will Help You Stand Out

• Experience working within large multinational enterprise environments
• Knowledge of regulatory and compliance requirements relating to data integrity, traceability, and governance
• Familiarity with enterprise analytics, reporting platforms, and data management ecosystems
• Experience supporting mission-critical production data environments
• Understanding of Agile methodologies and modern DevOps practices

We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

What We Offer (Netherlands)

• Competitive salary benchmarked to Dutch market standards
• Access to Udemy and Cognizant Academy for continuous learning and professional development
• International and diverse working environment
• Open, collaborative team culture
• ⚖️ Wellbeing programmes supporting a healthy and sustainable work-life balance
• Opportunities for continuous learning and career growth within a global organisation

Contact the Recruiter

Megha Nagpal [email protected] +31 6 2715 5643

Über Cognizant  
Cognizant (NASDAQ: CTSH) i ist ein Technologiedienstleister und Entwickler von KI-Lösungen. Wir schlagen die Brücke zwischen KI-Investitionen und echtem unternehmerischem Mehrwert, indem wir ganzheitliche Full-Stack-KI-Lösungen für unsere Kunden entwickeln. Mit unserer fundierten Branchen-, Prozess- und Engineering-Expertise integrieren wir die spezifischen Anforderungen von Unternehmen passgenau in Technologiesysteme. So entfalten wir das menschliche Potenzial, erzielen greifbare Ergebnisse und sichern globalen Unternehmen in einer sich rasant wandelnden Welt den entscheidenden Vorsprung. Erfahren Sie mehr unter cognizant.ai oder @cognizant.

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