Would you like to make a valuable contribution to the health of patients? And do something really meaningful on your own responsibility? Then we look forward to hearing from you! Excellence beyond manufacturing - that's what we stand for as Aenova, one of the world's leading contract manufacturers and developers for the pharmaceutical industry with 4,000 employees at 15 sites. Our site in Starnberg is the headquarters of the Aenova Group.

Aim of the role is to ensure stable, continous, and efficient operation of the data warehouse through a deep understanding of internal data and business processes, fast incident response and strong accountability.
It also enables trusted, consistent communication with business stakeholders, ensuring smooth and reliable business-as-usual operations.

For this position, we are looking for a genuine team player who will help shape the team culture and is willing to work on site in Starnberg at least 3 days a week.

More details:

• Monitor and continuously improve daily operational KPIs to ensure a stable and reliable data warehouse environment
• Detect, analyze, and coordinate the resolution of data-related issues in collaboration with internal stakeholders
• Plan, manage, and execute regular data ingestion processes, including the onboarding of new data sources
• Design and align necessary changes to data structures or processes to maintain operational stability and optimal load performance
• Ensure data availability and adherence to basic data quality standards within the raw data layer

• Bachelor’s or Master’s degree in Computer Science, (Business) Informatics, Mathematics, Engineering, or a comparable STEM-related field, with at least 4 years of professional experience in Data Warehousing, Data Engineering, or software engineering with a strong focus on data workflows

• Strong hands-on experience with SQL and Python, as well as working with cloud-based data warehouse technologies such as Azure and Snowflake
• Practical experience with templating engines (e.g., Jinja) and Infrastructure as Code tools (e.g., Terraform), combined with a solid understanding of DevOps principles in a data-driven environment
• Strong analytical skills with the ability to understand, design, and maintain complex, scalable data flows and architectures
• Solution-oriented, proactive, and quality-focused mindset, with a strong commitment to clean, maintainable code and reliable data pipelines