Data Mapping & ML Engineer

Heineken; Kraków; On-site; PLN 180,000 - 300,000; Full time

Job summary

HEINEKEN Kraków is seeking a data-focused engineer to join the Digital & Technology Team. You will design and implement data mapping, ML‑driven matching, and semantic models to improve data transformations across the platform.

Work with Databricks, PySpark, SQL and Python to build scalable pipelines, ensure data governance and collaborate with engineers to align with architecture standards.

The role emphasizes collaboration, documentation and delivering practical solutions for business needs.

Qualifications

• Hands-on experience delivering data transformations at scale using Databricks, PySpark, and SQL.
• Strong Python skills for data processing and automation.
• Experience applying ML methods to data transformation, matching, or semantic problems.
• Good understanding of data management concepts, data quality, semantics, modelling and data contracts.

Responsibilities

• Designing and implement automated data mapping solutions using metadata, semantics, and transformation logic.
• Translating source-to-target mappings into scalable, reusable data transformations.
• Contributing to the evolution of metadata‑driven mapping approaches, including lineage and semantic models.
• Supporting automation of mapping use cases such as standardisation, harmonisation, and matching.
• Designing and apply algorithmic and ML‑driven matching solutions to improve mapping automation.
• Implementing entity resolution techniques at scale using Python and PySpark.
• Developing and maintaining semantic models, including ontologies or knowledge‑graph–based structures.
• Assessing and refining matching approaches using quality metrics and practical performance considerations.
• Collaborating with data engineers to ensure mapping logic aligns with Databricks, Lakehouse, and Medallion principles.
• Applying knowledge of PySpark, SQL, Delta Lake, and Python to influence pipeline and transformation design.
• Ensuring mapping logic is scalable, transparent, and aligned with data governance standards.
• Contributing to shared CI/CD, testing, and deployment practices for data pipelines.
• Promoting reusable patterns, documentation standards, and best practices with the team.
• Working closely with data mapping specialists, analysts, and domain experts to deliver solutions.

Skills

Databricks

PySpark

SQL

Python

Machine Learning

Entity Resolution

Data Quality

Data Modelling

Data Governance

Knowledge Graphs

Graph Databases

Jira

Tools

Databricks

Job description

HEINEKEN Kraków is seeking a data-focused engineer to join the Digital & Technology Team. You will design and implement data mapping, ML‑driven matching, and semantic models to improve data transformations across the platform.

Work with Databricks, PySpark, SQL and Python to build scalable pipelines, ensure data governance and collaborate with engineers to align with architecture standards.

The role emphasizes collaboration, documentation and delivering practical solutions for business needs.