Company Description

The Bosch Group has more than 400 000 employees around the world, present in 60 countries, and we are proud to impact people’s lives and to work towards a more sustainable future.

Bosch Car Multimedia, S.A. belongs to the Automotive Electronics division and is focused on making the vehicles our third living space. About 3.600 associates are committed to develop and produce high quality technology that shape change in mobility worldwide. The company' success lies in its highly specialized and innovative team, and on the technological know-how which makes Bosch the leading supplier in the automotive market. 

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference in mindsets, cultures, generations, identities and perspectives. Everyone should bring their authenticity and work together respectfully. Bosch is an employer that values diversity and equal opportunities. We welcome applications from people with disabilities and we can provide reasonable accommodations during the recruitment process and in the performance of professional activity. By including everyone and ensuring equal opportunities we unleash our full potential.

Job Description

Your contribution to something big:

Transform harmonized data to facilitate data and AI-driven use cases for business-relevant applications such as reporting, decision-making, and recommendation systems;Build, operate, maintain, and monitor productive data pipelines to deliver data products for AI use cases;Document and scale solutions, create transparency on data quality, and improve it in close collaboration with data producers and consumers;Establish and demonstrate a service-oriented and data-driven mindset in your working environment.

Qualifications

What distinguishes you:

Completed master's degree in computer science or a related field with relevant specializations;Experience in complex data transformation tasks delivering harmonized data products on various types of data sets such as time-series, structured tabular data, images, and unstructured textual data;Strong experience with Python for data transformation tasks, including familiarity with DataBricks, SQL, SPARQL, and/or GraphQL;Experience in DevOps principles, with a focus on the stability, reliability, and monitoring of automated data pipelines and delivered data products;Ability to design technical concepts and communicate them efficiently to team members, business stakeholders, or non-software domain experts;Experience with UX methods is a plus;Excellent communication skills, resilience, and an analytical and conceptual approach;Very good English skills, both written and spoken.

Additional Information

Work #LikeABosch includes:

⚖️ Flexible work conditions