Senior Data Engineer - Platform

Your role in the team

• Operation, development, and scaling of our Data Platform Services (from Data Ingestion, Orchestration, and Transformation to Data Serving and ML Model Hosting).
• Development of scalable and automated data pipelines with Python and SQL.
• Building and operating stable, reproducible cloud infrastructures (Terraform, Kubernetes, CI/CD, GitOps).
• Creation and maintenance of reproducible development environments (Docker, Devcontainer).
• Automation of recurring platform and operational tasks with Python and Shell scripts.
• Ensuring platform stability, performance, and availability as a Service Squad for internal consumers.
• Close collaboration with BI Engineers, Analytics Engineers, and ML Engineers to translate requirements into robust platform solutions and define technical guardrails.

What we offer

• Our services save CO and protect the environment - we work for a sustainable world of tomorrow.
• Look forward to an attractive salary, 30 days of vacation per year, and flexible working hours, including the possibility to work remotely up to 50% of the week.
• We are an internationally successful company with agile working methods and an open corporate culture. Our future-oriented approach offers you long-term and excellent career opportunities.
• Stagnation is not an option for us, which is why we support you in every way in your development — a variety of learning opportunities await you.
• We are all pulling in the same direction.
• Whether it's a barbecue event, an international soccer cup, or just ice cream for everyone in summer – we always come up with something new, stay tuned!

Technologies and skills

• Airbyte
• Python
• Snowflake
• Terraform
• Amazon Redshift
• Airflow
• Azure
• SQL
• Google Cloud Platform
• Kubernetes
• Google BigQuery
• Fivetran
• GitOps
• Docker
• AWS

Our expectations:

Qualifications

• Routine in working with Cloud Data Warehouses (Snowflake, BigQuery, Redshift) and modern cloud environments in Azure, AWS, or GCP.
• Experience in Infrastructure as Code (Terraform) and containerized setups (Docker, Devcontainer).
• Good understanding of large data volumes and complex data flows.
• Teamwork skills and strong communication abilities, very good German and English language skills.
• Structured, solution-oriented working style and enjoyment in automating processes.
• Strong service mindset and enjoyment in enabling other teams to succeed.

Experience

• At least 5 years of experience in Data Engineering, ideally with a focus on platform operations.
• Experience with ELT pipelines, SQL, and tools such as Airflow, Airbyte, Fivetran, or dbt.

Benefits

• Flexible Working Hours