Senior Data Engineer @ Allianz Insurance
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About Allianz Insurance
Allianz Insurance is seeking a Senior Data Engineer to join its Global Pricing Data Engineering & Automation team at Allianz Commercial. This role is based in London and part of an international team with presence in Munich, Bucharest, Chicago, and New York.
Your Team
You will work within the Pricing Data Engineering & Automation team, contributing to data solutions that support advanced pricing across various Lines of Business and regions globally.
The Impact You Will Have
As a Senior Data Engineer, you will collaborate with the Head of Pricing Data Engineering & Automation and other stakeholders. You will interrogate data and implement pipelines using SQL and PySpark, develop Spark-based data platforms, and integrate internal and external data to enhance pricing functions.
Your Responsibilities
- Develop and maintain data pipelines using Spark, SQL, and PySpark.
- Design and implement solutions for data-driven pricing.
- Collaborate with Data Engineers, Pricing Actuaries, and Predictive Modellers.
- Implement best practices for data engineering and continuous improvement.
- Support reporting dashboard development and application projects as needed.
What You’ll Bring to the Role
The ideal candidate will have over 8 years of experience in SQL and PySpark, a degree in a numerical field or equivalent experience, and strong knowledge of data pipeline/ETL development. Industry experience in the insurance sector and familiarity with cloud-based solutions such as AWS, Azure, GCP, Snowflake or Palantir Foundry is essential. Familiarity with additional programming languages and some understanding of Machine Learning is a plus.
Key skills/competency
- SQL
- PySpark
- ETL
- Spark
- Data Pipelines
- Cloud Solutions
- Insurance
- Data Engineering
- Automation
- Problem Solving
How to Get Hired at Allianz Insurance
🎯 Tips for Getting Hired
- Customize your resume: Emphasize Spark, SQL, and data pipeline skills.
- Research Allianz: Investigate company culture and international reach.
- Highlight insurance experience: Showcase relevant data engineering projects.
- Prepare for technical interviews: Practice PySpark and SQL challenges.
- Show continuous learning: Mention your upskilling in cloud technologies.