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# Data Engineer / Analyst

- **Company:** Allianz SE
- **Location:** München, Germany (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Big Data, Information Engineering, Data Transformation, Python (Programming Language), Raw Data, Data Processing, Large Language Models, Generative AI, Pyspark, Information Technology
- **Published:** July 23, 2026
- **Apply:** https://www.adzuna.de/details/5811747254

## About the Role

* Master's degree (or Bachelor with comparable work experience) in Computer Science, Data Engineering, Quantitative Economics, Applied Statistics or related field
 * Several years of working experience in data engineering and analysis
 * High willingness to combine business know-how with technological skills
 * Ability to communicate complex analytical and technical content with insightful visualizations to a non-expert audience
 * Experience in the insurance sector is a plus; strong willingness to deep dive into (health) insurance data and development of good understanding is expected
 * Expertise in data modelling and Python, especially handling large datasets with PySpark
 * An AI-first mindset: You are naturally curious about the future of coding and have experience (or a strong desire to learn) using GenAI tools and LLMs to enhance your daily engineering workflows.
 * High degree of self-organisation, individual responsibility and decisiveness
 * Profound research skills to bring in outside-in perspectives and drive innovative solutions
 * Fluency in written and spoken English, German language skills are a plus but no requirement

## Description

* Develop deep expertise in insurance data models and consult Allianz entities globally on data transformation
 * Drive data harmonisation and quality initiatives by contextualising data for different stakeholders
 * Independently organise, track, and manage data transformation projects with Allianz entities.
 * Conduct raw data analysis, design and implement data processing and cleansing pipelines, and improve data quality.
 * Leverage modern AI coding assistants and an AI-first mindset to accelerate pipeline development, automate routine data tasks, and optimize existing codebases.
 * Analyse and visualise data to identify new business potentials.


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