Data Mapping & ML Automation Engineer

Heineken; Kraków; On-site; PLN 180,000 - 260,000; Full time

Benefits offered by this job

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Job summary

HEINEKEN Kraków, within the Digital & Technology Team, is seeking a Technology Specialist Data Mapping to drive automated data mapping capabilities. The role sits at the intersection of analytics engineering, data engineering, and data management, leveraging Databricks, PySpark, and SQL to deliver scalable solutions.

You will collaborate with data mapping specialists, data quality teams, and domain experts to build knowledge-graph–based structures and semantic models that elevate data governance

Qualifications

• Hands-on experience delivering data transformations at scale using Databricks, PySpark, and SQL.
• Experience applying advanced analytical or machine-learning methods to data transformation, matching, or semantic problems.
• Strong collaboration with data engineers and business analysts to deliver scalable data-mapping solutions.

Responsibilities

• Core Data Mapping & Automation: design and implement automated data mapping solutions.
• Advanced Matching & ML‑Driven Capabilities: build ML-driven matching and entity resolution at scale.
• Alignment with Data Engineering & Platform Teams: ensure mapping logic aligns with Databricks, Lakehouse, and Medallion architecture.
• Engineering Practices & Collaboration: promote CI/CD, testing, and documentation patterns across the team.

Skills

PySpark

Python

SQL

Databricks

Data mapping

Data governance

Knowledge graph

Tools

Databricks

Delta Lake

Azure

Jira

Job description

HEINEKEN Kraków, within the Digital & Technology Team, is seeking a Technology Specialist Data Mapping to drive automated data mapping capabilities. The role sits at the intersection of analytics engineering, data engineering, and data management, leveraging Databricks, PySpark, and SQL to deliver scalable solutions.

You will collaborate with data mapping specialists, data quality teams, and domain experts to build knowledge-graph–based structures and semantic models that elevate data governance