Technology Specialist Data Quality
HEINEKEN Global Shared Services•Kraków
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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!
Would you like to meet the Team, see our office and much more? Visit our website:
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
Would you like to meet the Team, see our office and much more? Visit our website:
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.
- 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)
- hands-on experience with Ataccama ONE or similar Data Quality / Data Governance platforms (Informatica, Collibra, etc.).
📡 Metadata statystyk
Źródłolinkedin
Slug / IDkrakow-technology-specialist-data-quality-heineken-global-shared-services-e5878a
Opublikowano19 marca 2026
Wygasa—
Pobranie (Ingest)19 marca 2026