Data Engineer

Om jobbet

About the Company

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.

About the Assignment

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.

Job DescriptionDesign 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

RequirementsStrong 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

Application

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