Your tasks:

• Implementation and integration of AI processes and data solutions at our clients' sites
• Design and maintenance of data pipelines and interfaces, from source to application
• Development and automation of ETL/ELT processes (e.g., with Azure Data Factory, SSIS, or dbt)
• Creation and optimization of data and AI workflows (Python, APIs, Cloud Services)
• Support with cloud deployments and infrastructure topics (Docker, Azure, AWS, CI/CD)
• Close collaboration with customers to make data-driven processes productive and usable.

You bring the following:

• Completed studies in computer science, data science, business informatics or a comparable qualification
• 2–3 years of professional experience in the field of data engineering or AI development
• Solid knowledge of Python (e.g., with pandas, dbt)
• Experience in developing automated ETL/ELT pipelines
• Confident handling of SQL and relational databases (e.g. PostgreSQL, SQL Server, Snowflake)
• Understanding of cloud architectures and DevOps tools (e.g., Docker, Git, Azure, AWS, Microsoft Fabric)
• Structured work methods, team spirit and enjoyment of implementation at the customer's site.
• Bonus: Experience in data visualization (e.g., Power BI, Streamlit, Dash) and experience with MinIO S3 or comparable object storage solutions
• German language skills C1 level

Here's what we offer you:

• Exciting projects with renowned clients from various industries
• Freedom for own ideas and technological development
• Modern tools & technologies (Azure, AWS, Fabric, dbt, Docker, Power BI)
• Hybrid working & flexible working hours
• Further training opportunities and certifications
• A supportive, collaborative team with flat hierarchies

About Us