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October 21, 2026

Data Engineer

Senior • On-site

42,000 - 73,000 EUR/yr

Cologne, NR, Germany

Quick Facts

  • Role: Build and operate a central enterprise data platform and deliver data products in agile teams using a Data Mesh approach

Description

You will help build, optimize, and run AXA Germany’s central Smart Data Platform. Working with interdisciplinary agile squads, you will develop data products and implement them on the platform, including ETL/ELT pipelines and core data models. The role emphasizes modern development practices and DataOps to ensure reliable, high-quality data flows.

Responsibilities

  • Build, optimize, and operate the Smart Data Platform (enterprise data platform)

  • Develop and implement data products in agile squads with Data Engineers, Product Owners, Information Architects, Data Experts, and business stakeholders using a Data Mesh approach

  • Create high-quality ETL pipelines, integrate multiple data sources, and develop foundational data models to address technical and business needs

  • Support the team in using modern development technologies and methods, including Snowflake, AWS, and dbt

  • Contribute new and creative ideas and regularly challenge the current approach

Requirements

  • Degree in (Business) Informatics or a comparable quantitative qualification

  • Minimum 3 years of professional experience in data engineering

  • Hands-on experience with cloud data warehouses/data platforms (Snowflake, Redshift, BigQuery)

  • Experience building a Data Lake or Data Warehouse

  • Knowledge of data modeling, especially Data Vault 2.0 (including complex modeling topics like bitemporal history)

  • ETL/ELT experience, very strong SQL skills, and the ability to optimize queries

  • Python for data processing and automation (ideally dbt)

  • Understanding of DataOps and software engineering best practices: PR-based workflows, testing, data quality checks, automation

  • Strong communication and quick comprehension; strong abstraction and analytical thinking

  • Very good German and English skills; stakeholder management experience; comfort with large datasets and data flows

Benefits

  • Flexible working hours with a 38-hour week and flextime model

  • 30 vacation days, plus Christmas Eve/Christmas and New Year’s Eve

  • 60% home office and option to work mobile abroad

  • Competitive compensation, company pension plan, and employer-provided savings benefits (vermögenswirksame Leistungen)

  • Diverse learning and development opportunities

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