> Markdown version of [/jobs/ext/4045444-it_12610-data-engineer-it-information-technology-innsbruck](https://www.wearedevelopers.com/jobs/ext/4045444-it_12610-data-engineer-it-information-technology-innsbruck). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # IT_12610 Data Engineer, IT Information Technology Innsbruck - **Company:** MED-EL Medical Electronics - **Location:** Austria - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Microsoft Azure, Code Review, Databases, Continuous Integration, Data Architecture, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Data Warehousing, Database Queries, Python (Programming Language), Scrum Methodology, Power BI, Cloud Services, SAP (Applications), Snowflake, Git, Microsoft Fabric, Information Technology, Data Pipelines - **Published:** October 10, 2026 - **Apply:** https://europa.eu/eures/portal/jv-se/jv-details/MTczODM2MjYgNDM?lang=en ## About the Role 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! ## Description 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