Data Engineer (Production Data & Analytics)

Quick Facts

• Role: Data Engineer (Production Data & Analytics)

• Focus: Production Data Products, semantic models, metrics layer, data governance, and AI use cases

Description

Develop and take ownership of production-ready Data Products in Databricks—from business requirements and data modeling to pipelines and productive operations. Create semantic models and a metrics layer to ensure consistent definitions of KPIs, terms, and relationships across the organization. Translate business requirements into scalable analytics solutions, maintain high data quality and governance standards, and support Self-Service Analytics.

Responsibilities

• Develop and operate Data Products in Databricks end-to-end

• Build semantic models and a metrics layer for unified KPI definitions

• Convert domain requirements into scalable data models and analytics solutions

• Ensure data quality and compliance with governance, documentation, and access standards

• Enable business teams to use data independently and expand Self-Service Analytics

• Identify AI and agentic-AI application cases and support delivery from PoC to production

• Proactively improve the data platform, standards, and ways of working

Requirements

• Degree in (Business) Informatics, Data Science, Engineering, or comparable qualification with relevant experience

• Experience in Data Engineering/Analytics Engineering or owning Data Products

• Strong knowledge of SQL and Python plus practical data modeling and ETL/ELT implementation experience

• Ideally experience with Databricks, Delta Lake, and Unity Catalog (or similar lakehouse technologies)

• Desired experience with semantic models, business glossaries, and metrics layers (e.g., Power BI Semantic Models, dbt)

• Understanding of data governance, data quality, and access and lifecycle concepts

• Strong interest in innovative technologies and data/AI-supported solutions; analytical, structured work style, initiative, communication skills, and cross-functional collaboration

• Very good German language skills (written and spoken)

Benefits

• More than 35 attractive benefits, including compensation and bonuses, 32 vacation days, and mobile work

• Flexible working time models

• Family, health, and sustainability offerings

• Training and career development opportunities