Senior AI & Data Tooling Engineer/Data Steward

Senior AI & Data Tooling Engineer/Data Steward

BMW Group

Munich, Germany

As a Senior AI & Data Tooling Engineer with a focus on Data Stewardship, you ensure that data is provided in standardised formats, continuously maintained, and supported by a robust technical tooling landscape – with the ultimate goal of enabling cross-domain and cross-generation AI use cases.

What awaits you?

• You define and implement standards for data formats, interfaces, and semantic models to create an interoperable data foundation for enterprise-wide AI applications;
• You develop and operate technical solutions for data harmonisation and transformation, including the implementation of standards and automated mapping processes;
• You ensure that data from diverse sources is automatically converted into unified, reusable formats, including validation, versioning, and metadata management;
• You implement continuous data management, monitoring data quality, managing retention and deletion policies, and optimising data inventories;
• You take ownership of Data Request Management by identifying missing data, coordinating requirements, and implementing technical integration – such as connecting new data sources, API integration, ETL pipelines, and automating data flows;
• You integrate these processes into existing MLOps and DevOps toolchains, automating workflows for data provisioning and governance;
• You evaluate emerging technologies (e.g., semantic layers, data catalogues, generative AI tooling) and actively contribute to the evolution of our data strategy.

What should you bring along?

• A university degree in Computer Science, Data Science, or a comparable qualification;
• At least five years of professional experience in data management, AI platform engineering, or tooling;
• A deep understanding of data formats and interfaces (e.g., JSON, MCAP, Avro, API design, semantic models);
• Hands-on experience in the technical implementation of data harmonisation and container-based formats;
• Solid knowledge of cloud architectures (mainly AWS) and container orchestration (Docker, Kubernetes);
• Strong programming skills in Python and scripting for automation;
• Very good written and spoken English skills. Knowledge of German, both written and spoken, is an advantage.