TL;DR
As of October 26, 2026, there are 247 English-speaking data and analytics jobs open in Germany: 121 in Berlin, 52 in Munich, 32 Germany-wide or remote and 17 in Hamburg. Machine Learning & AI (117) and Data Engineering (49) are the biggest groups, followed by Data Science (35), Business Intelligence & Analytics (30) and Analytics Engineering (12). Most openings are Senior (105) or Mid-level (78), and 30 are fully remote.
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There are 251 English-speaking Data & Analytics jobs open in Germany (updated ).
- Senior / Staff Product Analyst - (Logistics, Service)Delivery Hero · Berlin
- Senior Data Scientist, Fraud Detection - (Fintech, Credit and Fraud)Delivery Hero · Berlin
- Senior Machine Learning Engineer – Robotics/Swarming (All Genders)STARK · Munich
- Data Engineer - Commercial BI (m/f/d)Westwing Group SE · Munich
- Commercial Data Analyst (m/f/d)Westwing Group SE · Munich
How many English-speaking data jobs are there in Germany?
As of October 26, 2026, there are 247 English-speaking data and analytics jobs open in Germany, one of the four largest categories on EJIG alongside Software & IT, Sales and Product & Design. They work in SQL, Python and English, because the tools (Looker, Tableau, Power BI, dbt) and the data itself are language-agnostic.
- By seniority: 105 are Senior, 78 Mid-level, 44 Lead, 3 Entry-level and 1 Internship (15 have no level stated). Entry points exist but are the minority: see entry-level jobs.
- By city: Berlin has 121, Munich 52, Hamburg 17, Heidelberg 5 and Stuttgart 4. A further 32 are listed as Germany-wide or remote, and 30 of the 247 are fully remote.
- By role type: Machine Learning & AI 117, Data Engineering 49, Data Science 35, Business Intelligence & Analytics 30, Analytics Engineering 12. See Machine Learning & AI jobs.
- Who is hiring: BJAK (9), adjoe (8), Vinted (6), Nebius (6) and Agile Robots (6) have the most open data roles.
Browse all data and analytics jobs in Germany →
Which data roles exist, and what do they do?
- Data Analyst: answers business questions with SQL and BI tools, builds dashboards and supports marketing, product or operations teams. The most common entry point.
- BI Analyst / Engineer: builds the reporting layer (dashboards, data models, self-serve tools) that other teams rely on. See Business Intelligence & Analytics jobs.
- Data Engineer: builds the pipelines that move data into a warehouse, using tools such as Airflow, dbt, BigQuery, Snowflake or Redshift. See Data Engineering jobs.
- Analytics Engineer: a hybrid of analyst and engineer who turns raw data into clean, well-modelled datasets, often with dbt.
- Data Scientist: applies statistics and machine learning to predictive models, a more specialised and more senior track. See Data Science jobs and our guide to the best German cities for Data Scientists.
- Marketing / Product Analyst: an analyst embedded in a marketing or product team, focused on campaign performance or feature usage.
Where are the data jobs in Germany?
- Berlin has the largest concentration, with 121 open roles from e-commerce, FinTech and SaaS companies. Berlin data jobs →
- Munich has 52, from enterprise software, automotive and Big Tech offices, with strong data engineering demand. Munich data jobs →
- Remote and Germany-wide: 32 roles are listed this way, since data work is easy to decouple from an office. Remote data jobs →
- Hamburg has 17. Hamburg data jobs →
- By industry: sectors such as FinTech & Banking and E-Commerce & Retail run large data teams.
What do German employers screen for in data roles?
- A SQL test, almost always. Expect a live or take-home SQL exercise early in the process, whatever the title.
- A case study. For analytical roles, a take-home dataset with an open business question, followed by a presentation of your reasoning, not just the numbers.
- The named stack. Postings often list the exact tools (for example dbt, Snowflake, Looker), and hands-on experience with them is weighted heavily.
- Clear communication. Analysts embedded in marketing or product teams are assessed on explaining findings to a non-technical audience.
- Engineering basics for data engineering roles: version control, testing and code review.
What does career growth in data look like?
- Analyst → Senior Analyst → Analytics Manager for those who want to stay close to business stakeholders.
- Analyst → Analytics Engineer → Data Engineer for those who move upstream toward infrastructure.
- Analyst → Data Scientist with extra statistics and machine learning training; most companies treat it as a separate hiring track.
How do I get started?
If you have SQL and any exposure to a BI tool, you have the core of what most Data Analyst postings ask for. The rest is matching your tool experience to what each employer lists and being ready for a SQL screen early. Data is also a forgiving pivot from finance, operations or marketing, since the analytical skills transfer directly.
New to the German market? Start with Jobs in Germany Without German Language.
Browse all English-speaking data and analytics jobs in Germany →
Frequently Asked Questions
How many English-speaking data jobs are there in Germany?
As of October 26, 2026, there are 247 English-speaking data and analytics jobs open in Germany on EJIG: 121 in Berlin, 52 in Munich and 17 in Hamburg, with 30 fully remote.
Can I work as a Data Analyst in Germany without speaking German?
Yes. The core tools (SQL, Python, BI platforms) and the data itself do not require German, and most data teams at internationally oriented companies work entirely in English.
What is the difference between a Data Analyst and a Data Scientist?
A Data Analyst answers business questions with SQL and BI dashboards, while a Data Scientist applies statistics and machine learning to build predictive models. Analyst roles are the more common entry point; as of October 26, 2026, only 3 of the 247 open data roles are Entry-level and 1 is an Internship.
What technical skills do German employers expect for data roles?
SQL is expected in almost every data role. BI and Analyst roles add tools like Looker, Tableau or Power BI, Analytics Engineers are commonly expected to know dbt, and Data Engineers pipeline tools like Airflow plus a cloud warehouse such as BigQuery, Snowflake or Redshift.
Which German cities have the most English-speaking data jobs?
As of October 26, 2026, Berlin leads with 121 open data and analytics roles, followed by Munich with 52 and Hamburg with 17. Another 32 are listed as remote or Germany-wide.
Ready to make the move?
Browse verified, strictly English-speaking roles across Germany.