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Data Governance Engineer
Cognizant Technology Solutions Benelux B.V.
About the role
Data Governance Engineer
00069787491
Date published Jul 17 2026 Location Amsterdam / Netherlands Job category Delivery Management Work model Hybrid
Data Governance Engineer
About the company
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
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
Save Share Benefits that help you thrive and grow
Our benefits program is built with you in mind—so you can enjoy a fulfilling, balanced and healthy life.
Financial wellbeing
We regularly review market data to ensure compensation reflects the value you bring. Your benefits extend beyond pay and may include retirement plans, financial education, etc.
Physical and mental health
We empower you to prioritize your wellbeing through paid time off, flexible working where possible, healthcare plans, counselling, our Mental Health Allyship program and more.
Your career, your way
With 350,000+ roles at Cognizant, you’ll have opportunities explore new technologies, industries and locations—and build the skills you need to grow your career.
Real-world impact
Think about the biggest brands you rely on. Chances are, they rely on us to help strengthen their business. Here, you’ll turn bold ideas into solutions that improve lives everywhere.
Your path to Cognizant
Here’s what you can expect from our hiring process. Please keep in mind that it may vary by role and location. Explore our FAQs to learn more.
Step 1: Apply to the right opportunity
Find an open role that matches your skills and career goals and show us why you’re the person for the job. Don’t see the right opportunity? Consider joining our Talent Community.
Step 2: Connect with your recruiter
If one of our recruiters sees a fit, they’ll set up a short intro call to learn more about you and how your experiences and skills match the role.
Step 3: Show off your skills
If you and our team would like to continue the process, you’ll interview with our hiring team. Some roles may also require technical assessments and/or client interviews.
Step 4: Decision time
Our team will then review each candidates’ potential to succeed in the role. This step may take some time because we want to find the right fit for both you and us—but you can count on us to keep you updated.
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