ADH has a dual mission: Developing cloud-based software applications for Health insurance and supporting Allianz units world-wide in optimising their Health insurance business along the value chain.

What does it take to develop outstanding software or to support Health insurance executives globally to achieve lasting success in their business?

It takes data, dedication, knowledge, and curiosity. It takes people who want to learn and work in a truly exceptional team.

If you feel inspired by the idea to be part of a winning team, and to see your work on data having tangible impact at Allianz units worldwide, ADH is the right place for you.

Aufgaben

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

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• Master's degree (or Bachelor with comparable work experience) in Computer Science, Data Engineering, Quantitative Economics, Applied Statistics or related field
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• Several years of working experience in data engineering and analysis
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• High willingness to combine business know-how with technological skills
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• Ability to communicate complex analytical and technical content with insightful visualizations to a non-expert audience
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• Experience in the insurance sector is a plus; strong willingness to deep dive into (health) insurance data and development of good understanding is expected
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• Expertise in data modelling and Python, especially handling large datasets with PySpark
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• 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.
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• High degree of self-organisation, individual responsibility and decisiveness
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• Profound research skills to bring in outside-in perspectives and drive innovative solutions