In short
Volvo Cars seeks a Data Engineer for its Materials Engineering Centre in Gothenburg. This role involves developing and maintaining material data capabilities, ensuring data quality, and supporting engineering decisions. The ideal candidate has a PhD/MSc, strong Python skills, and experience with data visualization tools like Power BI.
Responsibilities
- Develop and maintain material data flows between systems and tools
- Drive and support material card creation, combining material 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
- Support and drive digitalization and automation of engineering workflows
- Develop and maintain scripts and tools for managing engineering data
- Contribute to continuous improvement of systems, methods, and data structures
- Support data visualization and reporting across the department
- Support lab activities with knowledge in mechanical testing with DIC technique
Requirements
- PhD/MSc in Materials Science, Engineering Physics, Data Engineering, or a related field
- Strong interest and understanding of DFT and FE modelling and material behaviour
- Strong Material knowledge
- Python – strong understanding, ability to develop and maintain scripts in production environments
- Power Automate – solid experience in designing both simple and more advanced automation flows
- Power BI – strong skills in building reports, managing datasets, and supporting data-driven decision making
- Networks – good understanding of connectivity, IP handling, and working within private/factory networks
- SQL, bash, linux OS, GitHub
Desired Qualifications
- Practical lab experience and understanding of material testing and validation and workflows
- Knowledge of characterization techniques such as CLTE, DMA, FTIR, SEM and mechanical testing (including imaging techniques)
- Experience working with experimental data and transferring it into simulation or modelling environments
- PowerShell – basic scripting knowledge
- Power Apps – experience developing simple applications for data collection
- Databases – basic understanding of handling structured data
- Azure (storage accounts, etc.) – basic experience working with cloud storage solutions
- Enjoy collaboration and knowledge sharing
- Structured and analytical mindset
- Comfortable working with both technical detail and the bigger picture
- Take initiative and have a “can-do” attitude
- Flexible and eager to learn in a fast-evolving environment
Benefits
- Career growth opportunities within Volvo Cars
- Work on future mobility solutions
- Collaborate with dedicated colleagues
#Research & Development
Company
Volvo Cars
Job Posted
6 days ago
Employment Type
Full Time
WorkMode
On Site
Experience Level
Mid-Senior
Locations
Gothenburg, Sweden
Qualification
Master, Doctoral
Applicants
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