Data Scientist

As Information Technology Department we enable digital processes and reliable IT services across the company. Our Data & Analytics Team collaborates with the business to develop, support, maintain, and govern data warehouse, data platform, and BI solutions that enable informed decision-making.

Your Tasks

Design, build, maintain, and optimize scalable data pipelines that integrate data from APIs, databases, and other sources

Develop and enhance ETL/ELT processes and data models to support analytics, reporting, and business intelligence

Collaborate with business stakeholders to gather requirements and deliver reliable, high-quality data solutions

Ensure the scalability, performance, and reliability of the data platform while continuously improving the data architecture

Support users of the data warehouse and data platform, contribute to data quality initiatives, and participate in code reviews and CI/CD processes

Your Profile

Completed Bachelor's degree or higher (University, FH) in Data Science, Computer Science, or a related field, along with at least 3 years of professional experience

Strong SQL skills and solid Python experience for data engineering and automation

Hands-on experience with Microsoft Fabric, Azure, Snowflake, SAP BDC or similar cloud data platforms, including ETL/ELT development, is desirable

Experience with Power BI, Git, CI/CD, and working in Agile (Scrum/Kanban) development environments

Strong analytical and problem-solving skills with excellent English communication skills; German is an advantage

Please apply in English!

Further information about MED-EL can be found https://www.medel.com/about-medel.

Full-time post 38,5 hours per week, flexible working time model with core working hours, details will be discussed in a personal interview.

Want to join a company that helps bring the joy of sound to people with hearing loss? Apply now!

https://jobs.medel.com/EN/open-position/IT_12610/online

A personal interview is only possible after prior invitation from the HR department.

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Source: Statistisches Bundesamt (Destatis), table; dl-de/by-2-0; StarIn's calculation