Digital & Technology Team (D&T) is an integral division of HEINEKEN Global Shared Services Center. We are committed to making Heineken the most connected brewery. That includes digitalizing and integrating our processes, ensuring best-in-class technology, and embedding a data-driven culture. By joining us you will work in one of the most dynamic and innovative teams and have a direct impact on building the future of Heineken!

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We are seeking a highly skilled Data Quality Engineer with strong expertise in Databricks-based data platforms and enterprise data quality platforms, preferably Ataccama. The ideal candidate will drive data quality initiatives across modern cloud data architectures, ensuring trusted, governed, and high-quality data assets across the organization.

Your Responsibilities Would Include

• designing, implementing, and maintaining scalable data quality solutions within Azure Databricks environment
• integrating and operationalizing Ataccama (ONE platform) for data profiling, rule management, validation, monitoring, and issue remediation
• developing and deploying data quality rules in Ataccama ONE and Ataccama IDE
• implementing enterprise data quality dimensions (accuracy, completeness, consistency, uniqueness, integrity)
• building and optimizing Delta Lake-based data models supporting high-quality, reliable analytics and reporting
• configuring and managing Databricks Asset Bundles (DAB), workflows, and job orchestration for automated data validation pipelines
• implementing end-to-end CI/CD pipelines for Databricks solutions using Azure DevOps, including automated testing and Git integration
• managing secure access and authentication mechanisms using Azure Key Vault, Service Principals and Managed Identities
• collaborating closely with Data Engineers, Product Owners, and other stakeholders to ensure successful delivery of data quality initiatives
• monitoring data quality KPIs, implement alerting mechanisms, and support root cause analysis for data incidents.
  
  

You Are a Good Candidate If You Have

• strong hands-on experience with Azure cloud ecosystem, including:
• Azure Key Vault
• Service Principals
• Managed Identities
• Storage Accounts (ADLS Gen2)
• Azure networking & infrastructure components
• Deep expertise in Azure Databricks, including:
• Delta Lake architecture
• Databricks Workflows & Job orchestration
• Databricks Asset Bundles (DAB)
• Cluster configuration & optimization
• Unity Catalog
• strong programming skills in:
• Python / PySpark
• SQL (advanced query optimization and data validation logic)
• experience implementing modern data architectures (mainly Medallion architecture)
• a solid understanding of data modeling best practices
• proven experience with CI/CD processes, Azure Pipelines, and Git-based version control strategies
• experience working in Agile/Scrum environments, using tools such as JIRA and Confluence
• strong collaboration skills across cross-functional teams (Product Owner, Chapter Lead, Scrum Master, Technical Product Manager)
• english proficiency (min. B2)
  

You Are The Perfect Candidate If You Have

• hands-on experience with Ataccama ONE or similar Data Quality / Data Governance platforms (Informatica, Collibra, etc.).
  
  

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