Hybrid Data Quality & Governance Engineer

Cognizant Technology Solutions; Netherlands; Hybrid; EUR 70,000 - 110,000; Full time

Job summary

Cognizant is seeking a Data Governance Engineer to join a large multinational organization. This hybrid role focuses on building reliable data solutions, strengthening data governance and data lineage, and enabling trusted analytics across the enterprise.

You will work with data stewards, governance, analytics, and engineering teams to design, implement, and optimize data quality solutions that improve confidence in enterprise data and support critical business decision-making.

Qualifications

• Strong practical experience with Collibra Data Quality configuration and integration.
• Advanced Python development skills for modular architecture and automation.
• Solid PL/SQL expertise with complex queries and performance tuning.
• Understanding of Data Quality principles and enterprise data governance.
• Experience with Data Governance, Data Lineage, and Metadata Management.
• Experience designing scalable data quality monitoring and remediation.
• Familiarity with version control and collaborative DevOps workflows.

Responsibilities

• Design data quality solutions using Collibra and Python to detect and remediate data issues.
• Develop Python components to automate data profiling, anomaly detection, and validations.
• Build and optimize PL/SQL procedures supporting data transformations and pipelines.
• Implement repeatable data quality controls to improve completeness and accuracy.
• Integrate data quality outputs into dashboards and workflows.
• Troubleshoot production incidents in data quality pipelines and PL/SQL processes.
• Optimize data quality solutions for performance and scalability.

Skills

Python development

Collibra Data Quality

PL/SQL

Data Governance

Data Lineage

Data quality

Tools

Collibra Data Quality

Job description

Cognizant is seeking a Data Governance Engineer to join a large multinational organization. This hybrid role focuses on building reliable data solutions, strengthening data governance and data lineage, and enabling trusted analytics across the enterprise.

You will work with data stewards, governance, analytics, and engineering teams to design, implement, and optimize data quality solutions that improve confidence in enterprise data and support critical business decision-making.