Senior AI & Data Tooling Engineer/Data Steward (f/m/x)
INNOVATION IS IMAGINING WHAT NO ONE ELSE CAN.
At the BMW Group, everything starts with passion. It turns a profession into a vocation. It drives us to keep reinventing mobility and bring innovative ideas onto the roads. Enthusiasm for joint projects turns a team into a strong unit where every opinion is valued. It is only when expertise, highly professional processes and enjoyment of work unite that we can shape the future together.
As a Senior AI & Data Tooling Engineer with a focus on Data Stewardship, you ensure that data is provided in standardized 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?
- Define and implement standards for data formats, interfaces, and semantic models to create an interoperable data foundation for enterprise-wide AI applications.
- Develop and operate technical solutions for data harmonization and transformation, including implementation of standards and automated mapping processes.
- Ensure that data from diverse sources is automatically converted into unified, reusable formats, including validation, versioning, and metadata management.
- Implement continuous data management, including monitoring of data quality, managing retention and deletion policies, and optimizing data inventories.
- Take ownership of Data Request Management: identify missing data, coordinate requirements, and implement the technical integration – e.g., connecting new data sources, API integration, ETL pipelines, and automation of data flows.
- Integrate these processes into existing MLOps and DevOps toolchains, automating workflows for data provisioning and governance.
- Evaluate emerging technologies (e.g., semantic layers, data catalogs, generative AI tooling) and actively contribute to the evolution of our data strategy.
What should you bring along?
- 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.
- Deep understanding of data formats and interfaces (e.g., JSON, MCAP, Avro, API design, semantic models).
- Hands-on experience in technical implementation of data harmonization 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.
Would you like to help us drive the AI transformation at BMW? Apply now!
Find out more about Artificial Intelligence at the BMW Group here.
Note: Please apply exclusively online via our career portal. Applications via other channels (esp. e-mail) cannot be considered.
What we offer?
- Challenging projects with which we are shaping the mobility of tomorrow together.
- Wide range of personal and professional development opportunities.
- Attractive, fair and performance-related remuneration.
- High level of job security.
- Annual special payments such as vacation pay, Christmas bonus, and profit sharing.
- Flexible working hours including 6 weeks annual leave and overtime compensation.
- Discounted BMW & MINI conditions.
- Many other benefits at bmw.jobs/benefits
Start date: from now on
Type of employment: unlimited
Working hours: full-time
If you apply, the next stages of the recruiting process include online testing, a pre-recorded video interview and then an interview with the hiring manager (either virtual or in person).
Do you have any questions? Then simply send your enquiry using our contact form. Your enquiry will then be answered by telephone or e-mail.
At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants. Learn more here.
