Data System Engineer (f/m/d)

Data System Engineer (f/m/d)

Focus: DevOps & Platform Operations

What we offer

• Extensive home office arrangements, flexible working hours through flexitime
• 30 days holiday plus Christmas Eve and New Year's Eve free
• Continuous further education and certifications
• Performance-related bonuses
• 100% reimbursement of public transport commuting expenses
• 40% employer contribution to the company pension scheme
• Capital-forming benefits, accident insurance
• Employer allowance for canteen, membership in a fitness center and company bike

Your tasks:

• You will be responsible for the stable operation, administration and ongoing development of our big data and BI platform.
• You will design and maintain data models and ETL/ELT processes that reliably feed our BI applications and reporting structures.
• You will develop scalable backends for dashboards and data products for internal and external clients.
• You will integrate AI components into the platform and ensure their stable operation in the production environment.

As part of the agile team

• You will administer our BI tool landscape and work directly with analysts to connect new data sources and implement data quality rules.
• You will carry out proof-of-concept analyses for new technologies.
• You will act as a committed team player.

Your profile

Required

• A successfully completed degree in Computer Science, Mathematics or Business Informatics, or an equivalent qualification.
• Solid programming skills in Go and Python.
• Proven experience with CI/CD pipelines.
• Extensive experience in the database environment (SQL and/or NoSQL), in the operation of data pipelines and in data modelling (ETL/ELT, dimensional models).
• Confident use of Git in a team context.
• Solid knowledge of Linux.
• Practical experience with Kubernetes.
• Experience with BI tools and their technical integration into a data platform.
• Basic understanding of AI methods (classical ML and LLMs).
• Confident manner and enjoyment of interdisciplinary and international collaboration.
• Very good command of German and English.

Plus

• Knowledge of ClickHouse and Grafana.
• Understanding of data governance and data quality processes.
• Ability to explain technical matters in a way that is understandable to non-technical team members and stakeholders.
• Experience in agile software development (Scrum, Kanban)

Apply now