Data Engineer
Core
Build and develop material data capabilities, enabling efficient data flows and supporting engineering decisions across the organization.
Role type
Data Engineer (Materials Engineering)
Builds
Material data flows, material cards, and digitalized engineering workflows
Domain
Automotive manufacturing / Materials Science
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, Power Automate, Power BI, SQL, bash, Linux OS, GitHub, DFT modelling, FE calculations, mechanical testing knowledge
Preferred skills
PowerShell, Power Apps, Azure storage, experimental data integration, DIC technique
Technologies
Python, Power Automate, Power BI, SQL, bash, Linux, GitHub, Azure
Responsibilities
Develop and maintain material data flows between systems and tools; Drive and support material card creation combining data, modelling, and validation; Work with modelling, DFT and FE calculations to describe and validate material behaviour; Ensure data quality, traceability, and structure across material datasets; Collaborate with engineers, analysts, and laboratory teams to integrate experimental data into usable formats; Develop and maintain scripts and tools for managing engineering data
Seniority
Mid-Senior, hands-on IC
