Data Architect

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