Senior Data Engineer responsible for building and evolving data platforms at Arsipa GmbH. Involves collaboration with cross-functional teams and ensuring data strategy implementation.
Responsibilities
Build, operate and evolve a scalable data platform (warehouse / lake / lakehouse)
Develop and maintain robust ETL/ELT pipelines to integrate a wide range of data sources
Ensure data quality, performance, scalability and cost optimization
Implement monitoring, governance and security concepts (including GDPR)
Work closely with analytics, product and engineering teams
Automate data processes and continuously improve existing architectures
Actively contribute to the data strategy and evaluate new technologies
Requirements
Several years of experience in data engineering or a comparable role
Strong programming skills in Python and SQL, and solid engineering standards (tests, CI/CD)
Deep understanding of modern data architectures and data modeling
Practical experience with cloud platforms (AWS, GCP or Azure) and common data tools (e.g. Airflow, dbt, Spark, Snowflake)
High quality and ownership mindset for production data pipelines
Ability to communicate technical solutions clearly and translate business requirements
Team player with an interest in mentoring and continuous development
Business‑fluent English (required); German language skills are a plus
Benefits
Attractive, market‑competitive compensation
Flexible work model: remote‑first with optional office presence
30 days of vacation
Structured onboarding with personal support from the recruiting team
Transparent communication via weekly 1:1s and regular all‑hands meetings
Access to corporate benefits
Long‑term perspective within a growing group of companies
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