Data Quality Engineer
Heineken Global Shared Services — Poland · Posted ~1 day ago
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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: Heineken (heineken-dt.pl)
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 environmentintegrating and operationalizing Ataccama (ONE platform) for data profiling, rule management, validation, monitoring, and issue remediationdeveloping and deploying data quality rules in Ataccama ONE and Ataccama IDEimplementing enterprise data quality dimensions (accuracy, completeness, consistency, uniqueness, integrity)building and optimizing Delta Lake-based data models supporting high-quality, reliable analytics and reportingconfiguring and managing Databricks Asset Bundles (DAB), workflows, and job orchestration for automated data validation pipelinesimplementing end-to-end CI/CD pipelines for Databricks solutions using Azure DevOps, including automated testing and Git integrationmanaging secure access and authentication mechanisms using Azure Key Vault, Service Principals and Managed Identitiescollaborating closely with Data Engineers, Product Owners, and other stakeholders to ensure successful delivery of data quality initiativesmonitoring 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 VaultService PrincipalsManaged IdentitiesStorage Accounts (ADLS Gen2)Azure networking & infrastructure componentsDeep expertise in Azure Databricks, including:Delta Lake architectureDatabricks Workflows & Job orchestrationDatabricks Asset Bundles (DAB)Cluster configuration & optimizationUnity Catalogstrong programming skills in:Python / PySparkSQL (advanced query optimization and data validation logic)experience implementing modern data architectures (mainly Medallion architecture)a solid understanding of data modeling best practicesproven experience with CI/CD processes, Azure Pipelines, and Git-based version control strategiesexperience working in Agile/Scrum environments, using tools such as JIRA and Confluencestrong 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.).
At HEINEKEN Kraków, we take integrity and ethical conduct seriously.
If someone has concerns about a possible violation of legal regulations indicated in Polish Whistleblowing Act or our Code of Business Conduct, we encourage them to speak up.
Cases can be reported to global team or locally (in line with the local HGSS Whistleblowing procedure) by selecting proper option in this tool or by communicating it on hotline.
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