Senior Data Analyst/Engineer

Infotainment platforms unit is responsible for developing, maintaining and deploying BMW infotainment platform. BMW infotainment platform is Linux (Yocto) based SW platform that provides common automotive functions used by multiple automotive ECUs. The unit is also responsible for cross-cutting concerns of the platform, like architecture, security, stability and performance. The platform is deployed into multiple infotainment domain ECUs, ranging from headunits and rear seat entertainment systems to telematics and audio ECUs.

Team description The data analytics team is responsible for monitoring key figures of the customer and test fleet. The tasks range from data collection up to the analysis of the data using various tools and techniques to answer specific questions, find new insights, and improve the software. A key element is to make the data accessible and understandable for the development teams to infer the according actions.

Key responsibilities, specific tasks, projects/areas of focus

• Monitor and maintain currently working data pipelines, databases, and associated tooling
• Implement new features based on customer s needs
• Fix bugs and fine tune the data pipelines, databases, and tooling, to get the best possible performance at lowest costs

• General knowledge in Data Engineering and Data Analysis
• Good knowledge of Python, with the experience in the production code development + writing unit/end-to-end tests
• Good knowledge of Apache PySpark and Polars (frameworks for data collection and analysis), especially good/bad practices, performance tuning
• Very good knowledge of SQL. Especially in writing complex queries with joins, window functions etc
• Experience with Plotly Dash (Python library for graphs)
• Experience with Pandas (Python library for Data analytics)
• Good knowledge of AWS (AmazonWebServices) Athena, Glue, QuickSight
• Business fluent English
• University degree in computer science or a comparable field of study, with a Linux Android focus
• Deep architectural understanding of Linux- and Android-based embedded systems
• Strong hands-on knowledge of data analytics tools

• Data Engineering
• Data Analytics
• SQL, PySpark, Polars, Pandas, AWS, Python