Data Engineer to a Global Organization

You’ll join a forward-thinking R&D environment focused on building next-generation infotainment and software-driven driving experiences, where data is at the core of innovation.

Based in Gothenburg, this on-site assignment runs from April 27, 2026, to April 30, 2027.

As a Data Engineer within the infotainment software factory, you will contribute to building and evolving a data product that provides visibility into CI/CD pipelines, engineering environments, and software products. Working in a team of skilled data engineers, you’ll transform complex engineering data into actionable insights, supporting efficient and high-quality software development. You will collaborate closely with platform, CI/CD, and product teams.

• Design and develop scalable data pipelines for ingesting, transforming, and storing engineering and CI/CD data

• Define and implement canonical data models and metrics in collaboration with architects and senior engineers

• Build and maintain the ConX engineering data product to support software development workflows

• Develop event-driven and batch data processing solutions

• Ensure high data quality, reliability, and observability across pipelines

• Apply data governance, security standards, and access controls

• Deliver self-service datasets and analytical layers for engineering teams and stakeholders

• Monitor, troubleshoot, and continuously improve pipeline performance and efficiency

You are a hands-on Data Engineer with a strong interest in data-intensive systems and modern software development practices. With a few years of experience under your belt, you are comfortable working in cross-functional environments and enjoy solving complex data challenges. Your ability to bridge technical implementation with business needs makes you a valuable contributor to high-impact engineering teams.

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or similar

• 3–7 years of experience in data engineering or software engineering

• Strong experience with Python, SQL, or similar for building data pipelines

• Solid understanding of data modeling, transformation layers, and modern data platforms

• Experience working with CI/CD systems and engineering data sources (e.g., Jenkins, GitLab CI, Grafana, ELK, Git)

• Knowledge of distributed systems, data storage formats, and streaming/event-driven architectures

• Familiarity with cloud platforms (AWS, Azure, or GCP) and containerized environments is a plus

• Understanding of data governance, security, and compliance practices is meritorious

For this assignment you will be hired as a full-time consultant by Digitalenta. We offer our consultants a generous package including healthcare allowance, insurance policy, paid vacation days and pension savings. In addition, you'll also have a dedicated consultant manager available throughout your employment with us, in addition to optional networking activities with our network of consultants.