Data Engineer (m/w/d)

at  Aioi Nissay Dowa Europe

Aioi Nissay Dowa Insurance Company of Europe SE is a company headquartered in Luxembourg and active on the German market as an insurance company in the private and commercial customer sector. The company is part of one of the largest insurance groups in the world, MS&AD Group Holdings, Inc., an insurance partner of the Toyota organization and a major shareholder of Box Innovation Group Limited, one of Europe’s leading telematics providers.
As the insurance partner of Toyota, one of the largest automobile manufacturers in the world, we develop and distribute outstanding insurance and financial services products for brands such as Toyota and Lexus, as well as specialised products for our car dealership organisation.
Our German branch is based in Ismaning near Munich and is also home to the majority of our European IT organisation, which provides IT services throughout Europe for our approx. 1,250 internal colleagues in more than 10 European countries.
Together with you, we want to continue to successfully expand our IT team and are looking for you as

SOME OF WHAT WE OFFER

• Growth is important to us, that’s why we support your personal and professional development
• Security in an established medium-sized insurance company thanks to permanent employment
• An open and friendly working atmosphere
• Flat hierarchical structure and open door policy
• Opportunity for mobile working
• Company benefits (capital-forming benefits, pension scheme, supplementary health insurance, occupational disability insurance)
• Christmas bonus
• 32 days’ annual leave plus 2 days’ leave for company shutdown
  We are looking forward to receiving to your application documents, your salary expectations as well as your earliest possible start date!

• Manage and optimize database performance, focusing on CPU, RAM, and storage I/O to ensure efficient data processing and querying.
• Design, index, and optimize relational databases, primarily AWS Redshift, to enhance data accessibility and performance.
• Develop and maintain Python solutions, writing clean, efficient, and maintainable code using libraries and frameworks like Pandas and PySpark.
• Leverage AWS services (S3, Glue, Athena, Lambda, Firehose, and Redshift) to design and implement scalable, reliable, and secure ETL solutions.
• Manage high volumes of data, handle streaming and Change Data Capture (CDC) scenarios efficiently, ensuring data consistency and timely updates.
• Implement data governance frameworks to ensure data integrity, security, and compliance.
• Continuously evaluate and reimagine workflows and architectures to drive innovation and optimize efficiency