Data Engineer (2653)

Data Engineer to MiT – Connected Experience

At Research and Development within Product and Quality, you will be a key contributor to the next generation outstanding luxury cars from The Client. Together with other engineers around the world, you and your team will create innovative human-centric car technology that makes life less complicated and more enjoyable for people. Are you interested in design and connected car technology? Do you share our passion for people, the environment and our urge to create a superior driving experience? Product and Quality is the place for you to prosper.

Infotainment is one of the fastest growing areas within automotive technology today. Competition is not only limited to traditional automotive competitors. Innovative and fast-moving companies like Apple and our collaboration partner Google have a strong influence on competition. The Client successfully launched cutting-edge driver interaction and infotainment solutions and is committed to continuous success.

The group is part of the software factory for Infotainment. We’re the team that opens the window into the software factory, making its inner workings clear and accessible.

Through monitoring and visualization of CI/CD, environment and product, we turn raw data into stories that teams can act on.

In this role you will be part of a team, mostly of data engineers to develop and maintain the data product, that allows CI and software product development to work fluently.

Key Responsibilities
• Develop, maintain, and optimize the ConX engineering data product.
• Build scalable and reliable data pipelines for ingestion, transformation, and storage of engineering and CI/CD data.
• Implement canonical data models and metric definitions in collaboration with senior engineers and architects.
• Contribute to the design and implementation of event driven and batch data workflows.
• Ensure data quality, accuracy, and observability in data processing pipelines.
• Apply data governance policies, access controls, and security best practices.
• Build self service data sets and analytical layers that empower engineering teams and stakeholders.
• Collaborate with CI/CD, platform, and product teams to understand data requirements and deliver high quality solutions.
• Monitor pipeline performance and reliability, troubleshoot issues, and continuously improve efficiency.

Required Qualifications
• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or equivalent practical experience.
• 3–7 years of experience in data engineering or software engineering with exposure to data intensive systems.
• Hands on experience building data pipelines using Python, SQL, or similar languages.
• Working experience with modern data platforms, data modeling, and building data transformation layers.
• Experience working with CI/CD, observability, or engineering data sources (e.g., Jenkins, GitLab CI, Grafana, ELK, Git).
• Solid understanding of distributed processing frameworks, data storage formats, and event-driven or streaming architectures.
• Strong problem solving skills and the ability to work collaboratively in cross functional engineering teams.
• Strong communication skills and the ability to translate data requirements into technical data solutions.

Meritorious qualifications
• Client experience
• Knowledge of data security, privacy regulations, and compliance standards.
• Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and containerized environments.