3066 IT & Software Developer jobs in Germany
Data & AI Generalist (m/f/d) - Insurance
47.000 - 87.000 €
Jobiqo
Zwillergasse, Munich
47.000 - 87.000 €
Requirements
Must:
- Solid, practical experience across data preparation, data engineering, and applied analytics, comfortable working end-to-end with real data
- Proficient in Python and SQL; experience with R and Databricks is a plus
- Hands-on experience building ETL/ELT pipelines and working with structured data at scale
- Exposure to GenAI tooling and LLM-based applications (e.g., LangChain, Azure OpenAI, RAG patterns); curiosity and willingness to go deeper
- Working knowledge of Power BI, including data modelling, Power Query, and DAX
- Experience in (re)insurance, financial services, or another regulated industry is an advantage but not a must
- Structured, reliable, and able to work independently in a part-time, asynchronous team setup
- Creative problem-solver with a pragmatic mindset. You know when good enough is good enough and when it is not.
- Fluent in English (written and spoken)
Responsibilities
- Prepare, clean, and integrate data from cedents and internal sources; perform exploratory data analysis to assess quality, detect anomalies, and make data fit for downstream use
- Design and implement ETL/ELT pipelines for recurring and ad-hoc data deliveries, automating ingestion, transformation, and loading into our data / knowledge systems
- Support data engineering tasks including pipeline maintenance, SQL-based processing, and integration with our Databricks and Azure data platform
- Contribute to applied GenAI use cases - including prompt engineering, RAG-based applications, and lightweight agentic workflows that generate tangible value for our business units
- Build and maintain Power BI reports and semantic data models to support self-service analytics across underwriting, pricing, claims, and medical functions
- Collaborate closely with data engineers, AI/ML engineers, and knowledge graph specialists to integrate your work into broader RIKS systems and workflows
- Document data flows, transformations, and models; contribute to data quality standards and governance practices
Description
We are the Risk Intelligence and Knowledge Systems (RIKS) unit within the Life & Health division, acting as a regional analytics center for Europe, UK, and Latin Americas. We focus on AI strategy development, biometrics insights, and knowledge modelling across numerous markets and contracts. Our commitment to investing in scalable data technologies enables us to provide high-quality products and services. We invite curious individuals to join us part-time as a Data & AI Generalist, where you will engage with data preparation and applied GenAI, among other responsibilities. As the worlds leading reinsurance company with a dynamic team and a culture that values innovation, we offer benefits like a competitive salary, work-life balance, and opportunities for continuous learning.
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You can find Data Engineer salaries in Germany here.
How many Data Engineer jobs are in Germany?
Currently, there are 3066 Data openings. Check also: Spark jobs, Snowflake jobs, Kafka jobs, Hadoop jobs - all with salary brackets.
Is Germany a good place for Data Engineers?
Germany is one of the best countries to work as a Data Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for Data Engineer jobs in Germany?
metergrid GmbH, Concircle Consulting GmbH, Verein der Europ. Bürgerwissenschaften ECSA e.V., Bayerisches Landesamt für Verfassungsschutz, HEDELIUS Maschinenfabrik GmbH, kölnton rental GmbH, base4IT GmbH among others, are currently hiring for Data roles in Germany.
The company with most openings is adesso SE as they are hiring for 158 different Data Engineer jobs in Germany. They are probably quite committed to find good Data Engineers.
The company with most openings is adesso SE as they are hiring for 158 different Data Engineer jobs in Germany. They are probably quite committed to find good Data Engineers.