Data Engineer Jobs in Berlin

11 positions available in Berlin. Germany's startup capital with 320K+ tech, fintech, and AI-first roles

Data Scientist / Data Engineer (m/w/d)

Bertrandt AG • Berlin, Berlin

onsite

Junior Software Developer - Python & Data Engineering im Gesundheitswesen

Labor Berlin-Charité Vivantes GmbH • Berlin, Berlin

onsite

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Backend Entwickler Python (m/w/d) - Data Engineer Python

Ratbacher GmbH • Berlin, Berlin

onsite

Senior Data Engineer (m/f/d) – Customer Identity Resolution

momox • Berlin

hybrid

Data Engineer (Mid-Sen Level) - Fully Remote

SOFTGAMES • Berlin

remote

Data Analyst / Data Engineer

Rahantech GmbH • Berlin

onsite

Related Roles in Berlin

Web Developer Software Engineer Data Scientist Data Analyst

Data Engineer in Other Cities

Munich (Bavaria) Hamburg (Hamburg)

What Does a Data Engineer Do?

Data engineers build and maintain the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They ensure data quality, security, and accessibility for analytics and machine learning teams.

Data Engineer Salary in Berlin

The median salary for a Data Engineer in Berlin is €54,600 per year. The range is €42K - €68K (P10: €32,760, P90: €84,630). (Eurostat SES 2025) Typical US salary range: $95K - $160K. In Europe: €65K - €105K. Cost of living in Berlin is high compared to other cities.

Most In-Demand Skills

Apache Spark/Hadoop SQL Python Cloud Platforms (AWS/GCP/Azure) ETL/ELT Data Modeling

The Berlin Job Market

Germany's startup capital with 320K+ tech, fintech, and AI-first roles. Berlin is Europe's startup capital with world-class talent, AI research, and fintech innovation attracting international tech leaders.

Top industries: Technology & Startups, Fintech, Artificial Intelligence, Media & Publishing.

BVG U-Bahn is excellent; startup culture is highly remote-friendly with global talent pools.

Career Path & 2026 Trends

Data engineers progress to senior data engineer or principal engineer roles, with some transitioning to data platform architecture or management. Data engineering is experiencing rapid growth in 2026 as organizations prioritize real-time data and AI/ML infrastructure investments.

Interview Tip

Prepare specific examples of data pipelines you've built, focusing on how you handled scale, reliability, and data quality challenges.

How to Find a Data Engineer Job in Berlin?

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