Data Mapping Automation Engineer (ML & Azure)

HEINEKEN Global Shared Services; Kraków; On-site; PLN 180,000 - 240,000; Full time

Job summary

HEINEKEN Global Shared Services Kraków is seeking a Technology Specialist Data Mapping to drive automated data mapping and ML-driven matching within our Data Mapping Chapter. You will design, build, and operate backend data solutions on Azure and Databricks, collaborating with data mapping specialists, quality analysts, data engineers, and domain experts to align with our enterprise data strategy.

In this role you will apply advanced analytics and machine-learning techniques to improve

Qualifications

• Hands-on experience delivering data transformations at scale using Databricks, PySpark, and SQL.
• Solid Python skills for data processing and automation.
• Experience applying advanced analytical or ML methods to data transformation, matching, or semantic problems.
• Strong problem-solving skills in designing algorithms for data quality, similarity, and entity alignment.
• Good understanding of data management concepts, including data quality, semantics, modelling, and data contracts.
• Experience working with metadata, lineage, and governance tooling.
• Familiarity with Azure-based data platforms in enterprise environments.
• Ability to collaborate with platform and data engineers, focusing on data logic and analytics over infra.
• Confident in explaining technical solutions to technical and non-technical stakeholders.
• Excellent written and verbal English.

Responsibilities

• Core Data Mapping & Automation: designing and implement automated data mapping solutions using metadata, semantics, and transformation logic.
• Advanced Matching & ML‑Driven Capabilities: designing and apply algorithmic and ML‑driven matching solutions to improve mapping automation; implementing entity resolution at scale.
• Alignment with Data Engineering & Platform Teams: collaborating with data engineers to ensure mapping logic aligns with Databricks, Lakehouse, and Medallion architecture principles; applying PySpark, SQL, Delta Lake.
• Engineering Practices & Collaboration: contributing to CI/CD, testing, and deployment practices for data pipelines; promoting reusable patterns and documentation.

Skills

Data engineering

Analytics engineering

Databricks

PySpark

SQL

Python

Machine learning

Data governance

Azure data platforms

Stakeholder communication

English proficiency

Tools

Databricks

Azure DevOps

Delta Lake

Python

PySpark

SQL

Job description

HEINEKEN Global Shared Services Kraków is seeking a Technology Specialist Data Mapping to drive automated data mapping and ML-driven matching within our Data Mapping Chapter. You will design, build, and operate backend data solutions on Azure and Databricks, collaborating with data mapping specialists, quality analysts, data engineers, and domain experts to align with our enterprise data strategy.

In this role you will apply advanced analytics and machine-learning techniques to improve