Location: Zurich (Hybrid)
Contract: Initial 12 months, long-term extension expected
Trust in SODA is supporting a major industrial/manufacturing client as they scale a strategic data engineering initiative. We’re looking for a hands-on Data Engineer with strong ETL expertise, excellent Azure knowledge, and the ability to work closely with business stakeholders to turn requirements into robust, production-ready data solutions.
What You’ll Do
- Design, build, and maintain ETL pipelines across complex industrial/manufacturing datasets
- Work extensively with Python, SQL, Azure, and Snowflake to deliver scalable data services
- Support data extraction from SAP systems and related environments
- Collaborate with business stakeholders to translate functional needs into technical solutions
- Own solution design while remaining hands-on in engineering and development
- Troubleshoot, deep-dive, and resolve escalations (including senior stakeholder challenges)
- Drive continuous improvement using AI tooling to optimise engineering workflows
- Contribute to a long-term transformation roadmap (multi-year programme)
- Strong background in ETL development
- Proficiency in Python and SQL
- Solid experience across Microsoft Azure (Data Factory, Databricks, or similar)
- Working knowledge of SAP data structures (majority of sources are SAP)
- Experience with Snowflake
- Qlick Replicate experience is a strong plus
- Previous exposure to industrial / production / manufacturing environments
- Strong engineering fundamentals and the ability to deep-dive into complex technical problems
- Comfortable engaging directly with the business and handling high-level escalations
- Ability to design solutions, build them, and report effectively to senior stakeholders
- German language skills ideal, but not required
