Data Governance Engineer, Amsterdam, Amsterdam, Netherlands

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

コグニザントについて  
コグニザント（NASDAQ: CTSH）は、AI Builderおよびテクノロジーサービスプロバイダーとして、お客様にフルスタックのAIソリューションを構築することで、AI投資と企業価値を結ぶ架け橋となっています。業界、ビジネスプロセス、エンジニアリングに関する当社の深い専門知識を活かし、組織固有のビジネス環境をテクノロジー・システムに組み込みます。これにより、人間の可能性を最大限に引き出し、確かな成果を実現するとともに、急速に変化する世界においてグローバル企業が常に一歩先を行くための支援を行っています。詳細については、cognizant.ai をご覧ください。 

雇用に関する追加情報
本募集に記載されている報酬情報は、掲載日時点で正確なものです。Cognizantは、適用される法令に従い、いつでも本情報を変更する権利を留保します。

応募者は、対面またはビデオ会議による面接への参加を求められる場合があります。また、各面接の際に、現在有効な州政府または政府発行の身分証明書の提示を求められる場合があります。

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