Data Engineer (all genders)

• You will support our customers in obtaining the necessary data easily and transparently in order to develop intelligent data products in different fields (mobility, automotive, industrial, consumer, financial & non-profit organizations).

• You will design, implement, and manage data pipelines for our clients (internal/external).

• You will work on fast paced and innovative projects with the goal to deliver innovative solutions for our customers.

• You will monitor and constantly improve the performance of the pipelines.

• You will support different stakeholders (internal/external) in making the right technology decisions.

• You will gather and process raw, structured, semi-structured, and unstructured data using batch and real-time data processing frameworks.

Must haves:

Python, ETL/ELT, Spark, Amazon Web Services (AWS), Azure, CI/CD, Data Warehouse, relevant working experience of +2 years, suitable degree, English-speaking

Nice to have:

Kafka, Redshift, Database Architecture, Data Architecture, Java, Golang, German-speaking

• Born digital: Benefit from our many years of experience and our agile up-to-date culture
• Life-Work-Balance: Decide for yourself where and when you work: across locations in the Digital Workspace, part-time, completely flexible, taking a sabbatical – no problem with us.
• Appreciation: We rely on flat hierarchies and are respectful, loyal and appreciative.

• Perspectives: We offer very different and individually tailored career models and a steep learning curve.
• Benefits: In addition to retirement provisions, employee discounts and a wide range of sports activities, we offer great company outings and legendary parties.
• Hybrid Work: We support you in working from home in a healthy and well-equipped manner. Remote onboarding included, of course!