Senior Data Engineer

Build scalable data solutions that drive product development in a global automotive environment. Here you'll own data flows from architecture to operations and influence technical decisions. Here you'll work with data used to develop products at scale. The role is perfect for you if you want to combine hands-on development with technical ownership and influence how modern data platforms are built and managed. About the Role You develop and own scalable data products for internal use. You work closely with data, architecture, and production in a technically complex environment. You'll become a key person in working with Databricks and PySpark. You contribute to technical decisions, standards, and continuous improvements. What You'll Do Build, maintain, and improve data pipelines for signal, diagnostic, and feedback data. Ensure quality, availability, performance, and reliability of data solutions. Develop CI/CD flows, testing, monitoring, and automation. Debug production issues and drive root cause analyses. Clearly document datasets, data products, and technical solutions. What We're Looking For Solid experience with Python and modern software development. Strong hands-on experience with Databricks and PySpark. Experience building and optimizing data platforms at scale. Experience with CI/CD, containerization, and cloud-based solutions. Ability to work independently, drive technical questions, and support other developers. Very good English in speech and writing. Technology & Tools Python, SQL, and Git/Gerrit Databricks and PySpark Docker and Airflow Azure and Snowflake Jenkins, GitHub Actions, and Power BI Experience with automotive data, time series, or diagnostic data is a plus Practical Information Location: Gothenburg Work Style: Not specified Language: English

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