Arbetsbeskrivning

Avaron AB is a growing consultancy focused on technology, finance, and business support. We match your expertise with the market's most interesting assignments, offering a platform where your professional development is central.

We are looking for a Data Engineer to join a team working with data from a co-development car fleet in the automotive domain. The assignment focuses on securing end-to-end data collection flows and delivering governed, privacy-compliant data products that enable insights for internal stakeholders. You will work in a collaborative environment with data engineers, software teams, architects, and product stakeholders, contributing to reliable pipelines, well-defined datasets, and continuous improvements to tools and ways of working.

• Design and develop scalable data pipelines that turn car signals, diagnostics, and driver feedback into business-aligned data products
• Deliver quality-assured, privacy-compliant data products in both raw and refined formats for internal consumers
• Maintain and improve existing pipelines to ensure uptime, reliability, and data quality for reports and dashboards
• Implement monitoring metrics to track data quality, usage, and costs
• Document datasets and provide clear, descriptive overviews to support stakeholder understanding and adoption
• Collaborate closely with engineers, architects, and product users to refine requirements and improve delivery
• Support the Product Owner and engineering leadership with stakeholder communication needs
• Contribute to continuous improvement of datasets, tooling, and scalable solution design

• Strong expertise in Python
• Experience with version control using Git/Gerrit
• Experience building CI/CD pipelines using Jenkins, GitHub Actions, or GitLab CI/CD
• Experience with containerization using Docker
• Experience building scalable data pipelines using Databricks or Airflow
• Solid background in system design, programming, and database interfacing, with ability to design solutions autonomously
• Proficiency in SQL
• Proficiency in Power BI
• Experience with API management
• Hands-on experience with Azure cloud services
• Hands-on experience with Snowflake
• Experience in test program development
• MSc degree in Data Science, Computer Science, Data Engineering, Mathematics, or equivalent
• Fluent in English
• Familiarity with the UDS diagnostic communication protocol

Selections are made on an ongoing basis, so we recommend that you apply as soon as possible.