Data Engineer Jobs in Berlin

A data engineer designs, builds, and maintains the systems that move and transform raw data into reliable, analysis-ready datasets. In Berlin, these roles sit at the heart of the city’s data-intensive industries, including e-commerce, fintech, and digital advertising, where companies like Zalando, GetYourGuide, and numerous analytics startups are constantly hiring to build and maintain their data infrastructure.

What data engineers in Berlin actually do

Day to day, a data engineer is responsible for the plumbing behind a company’s analytics and machine learning. Typical responsibilities include:

• Building and orchestrating ETL/ELT pipelines that ingest data from APIs, databases, and event streams.
• Designing and maintaining data warehouses and lakehouses so analysts and data scientists can query clean, trustworthy tables.
• Modeling and transforming data, increasingly with dbt, and enforcing data quality and observability.
• Supporting real-time use cases such as fraud detection, personalization, and operational dashboards.

Many Berlin teams work closely with analytics and ML engineers, so collaboration and clear documentation matter as much as raw coding skill.

Skills and tools in demand

Core skills for data engineering roles in Berlin include Python, SQL, and experience with orchestration tools like Apache Airflow or Dagster. Cloud data platforms such as BigQuery, Snowflake, and Redshift are commonly used, alongside streaming technologies like Kafka and Flink for real-time data processing. dbt has become a standard tool for data transformation.

Beyond the core stack, employers frequently value:

• Infrastructure-as-code and containers (Terraform, Docker, Kubernetes).
• A working knowledge of distributed processing with Apache Spark.
• Familiarity with at least one major cloud provider (AWS, GCP, or Azure).
• Solid data modeling fundamentals and an eye for cost and performance.

Pay, seniority, and benefits

Data engineer salaries in Berlin range from EUR 55,000 for mid-level positions to EUR 95,000+ for senior data engineers. Lead and staff data engineers at top companies can earn EUR 105,000 to EUR 125,000. Many positions include equity, conference budgets, and the opportunity to work with cutting-edge data technologies.

Seniority typically progresses from junior and mid-level roles focused on pipeline development, to senior engineers who own data domains and mentor others, and finally to lead or staff engineers shaping platform architecture across teams. Exact pay varies by company, funding stage, and your depth in a given stack.

Frequently asked questions

Is data engineering in demand in Berlin? Yes. Berlin has emerged as a European hub for data engineering, with steady demand across e-commerce, fintech, advertising, and a deep bench of analytics-driven startups, so well-prepared candidates usually find an active market.

What skills do I need to get hired? Strong Python and SQL are the foundation, plus hands-on experience with an orchestration tool (Airflow or Dagster), a cloud data warehouse (BigQuery, Snowflake, or Redshift), and dbt. Streaming experience with Kafka or Flink is a strong differentiator.

Do I need to speak German? Many data engineering teams in Berlin operate in English, and a large share of roles are open to international candidates. German can help with day-to-day life and some local companies, but it is often not a strict requirement for these positions.