Data Quality Engineer

HEINEKEN Global Shared Services; Kraków; On-site; PLN 267,840 - 334,800; Full time

Job summary

HEINEKEN Global Shared Services in Kraków is looking for a skilled Data Quality Engineer to enhance data quality initiatives within Azure Databricks environments. The ideal candidate should have profound expertise in cloud data architectures, strong programming capability in Python and SQL, and experience with Ataccama or similar platforms. With a focus on automation and data governance, this position is integral to maintaining data asset trustworthiness and quality across systems.

Qualifications

• Strong hands-on experience with Azure cloud ecosystem.
• Deep expertise in Azure Databricks and Delta Lake architecture.
• Strong programming skills in Python and SQL with advanced query optimization.

Responsibilities

• Design and maintain scalable data quality solutions in Azure Databricks.
• Integrate and operate Ataccama for data profiling and monitoring.
• Develop data quality rules in Ataccama ONE.

Skills

Azure Key Vault

Service Principals

Managed Identities

Python / PySpark

SQL

Tools

Ataccama ONE

JIRA

Confluence

Job description

Digital & Technology Team (D&T)

We are 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!

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.

Responsibilities

• 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, implementing alerting mechanisms, and supporting root cause analysis for data incidents

Qualifications

• 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)

Preferred Qualifications

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

At HEINEKEN Kraków, we take integrity and ethical conduct seriously. If someone has concerns about a possible violation of legal regulations indicated in the Polish Whistleblowing Act or our Code of Business Conduct, we encourage them to speak up. Cases can be reported to the global team or locally (in line with the local HGSS Whistleblowing procedure) by selecting the proper option in this tool or by communicating it on the hotline.