Data Engineer – Analytics (f/m/div.) for Solid Oxide Fuel Cells (SOFC)

Stuttgart, Germany

Full Time Senior-level / Expert USD 115K - 180K *

Bosch Group

Moving stories and inspiring interviews. Experience the meaning of "invented for life" by Bosch completely new. Visit our international website.

View company page

Company Description

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. Welcome to Bosch.

We look forward to your application!

Job Description

  • Help shape the future: We are developing the solid oxide fuel cell (SOFC) as an IoT device and are implementing a digital twin for it. You will be involved in shaping this innovative Bosch product, which will help to reduce the CO2 emissions with hydrogen-based power generation, and to transform the future of green energy.
  • Take responsibility: As a Data Engineer you are responsible for end-to-end development of SOFC Analytics Data Platform: from its conception, design and implementation to optimization and operations. You will integrate data along the complete product lifecycle of SOFC systems, such as manufacturing, operations, or service. You will design and implement data models and Extract-Load-Transform (ELT) pipelines across the data lakehouse. You will create end-user data and reporting solutions to bring further value to our business.
  • Implement holistically: SOFC Analytics Data Platform that you build will be used by data scientists and engineers to continuously improve the product, optimize, and grow the business. You will work with modern data tech stack (Spark, Databricks, Airflow) to build effective, scalable, highly automated cloud solutions.
  • Live cooperation: You will be part of a diverse team of software engineers, data engineers and data scientists that jointly bring data-driven solutions and machine-learning applications into production.


  • Education: Successfully completed Master's degree in computer science, information technology, engineering with a strong IT background or comparable qualification.
  • Experience & Knowledge: You have several years of experience in developing and maintaining complex data lake and data warehouse solutions. You have built CI/CD pipelines and have a DevOps mindset. You are skilled in Spark, Python and SQL, and have experience with modern data infrastructure on the cloud (Azure, Databricks, Airflow). Experience in developing infrastructure as code (Terraform) is a plus.
  • Personality and working practice: You are a self-motivated team player, driven to deliver high quality and innovative solutions with impactful results. You can communicate effectively, have automation first mind set and are passionate for modern data infrastructure.
  • Languages: Fluent in English (written & spoken), good knowledge of German is a plus.

Additional Information

You want to work remotely or part-time - we offer great opportunities for mobile working as well as different part-time models or job-sharing. Feel free to contact us.

Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.

Need support during your application?
Tim Schalow (Human Resources)

Need further information about the job?
Anastasia Caspers (Functional Department)

* Salary range is an estimate based on our salary survey 💰

Tags: Airflow Azure CI/CD Computer Science Databricks Data warehouse DevOps ELT Engineering Pipelines Python Spark SQL Terraform

Perks/benefits: Career development

Region: Europe
Country: Germany
Job stats:  5  0  0
  • Share this job via
  • or

More jobs like this

Explore more AI/ML/Data Science career opportunities

Find open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general, filtered by job title or popular skill, toolset and products used.