PowerCo SE

Data Engineer (all genders)

Job description

Volkswagen established PowerCo to consolidate activities along the value chain for batteries – from processing raw materials to developing a unified Volkswagen battery and managing the European Gigafactories. The company’s scope will include new business models based around reusing discarded car batteries and recycling the valuable raw materials they contain. The Group is thus creating efficient and future-proof structures for the rapidly growing battery business. As part of its NEW AUTO strategy, the Volkswagen Group is aiming to become the world’s leading manufacturer of electric vehicles. To this end, it is expanding its battery-related activities and making these into one of its core competencies.

Technological development I Professionals

With Whom You Will CELLebrate

The mission has started. We proudly announce that in our Battery Valley we are starting our own battery cell production and the ramp up of our worldwide headquarters for global cell manufacturing. The CTO organization takes care of the battery cell development. Our responsibility includes research, predevelopment of materials and components, series development, prototyping, testing and analysis of battery cells.

How You Will CELLebrate
  • Design and implementation of data pipelines, data storage and data processing solutions
  • Ensure the scalability and availability of the data infrastructure
  • Collaborate with shopfloor data acquisition and cross-functional teams to understand business requirements and develop data-driven solutions
What You Need For Our CELLebration
  • Successfully completed (under-)graduate degree in IT, computer science, business informatics, engineering or comparable qualification
  • Several years of professional experience in data engineering or a related field
  • Strong knowledge of programming languages such as Python, JavaScript, C# or others, as well as profound knowledge in SQL
  • Experience with ETL/ ELT processes
  • Strong knowledge of data warehousing, data pipeline and data processing technologies as well as strong problem-solving and analytical skills
  • Experience with cloud platforms like Azure and experience with big data technologies like Hadoop and Spark
  • Good communication skills and the ability to work collaboratively in a team environment
  • Business fluent in German and English
What Else Can You Bring
  • Experience with containerization and container orchestration technologies such as Docker and Kubernetes
  • Certifications such as Azure Data Engineering
  • Relevant experience with data science and data analytics frameworks (e.g. Scikit-learn, pandas, Tensor Flow)
  • Good knowledge in the areas of statistics, data science and data analytics
What To Look Forward To
  • Mobile work options
  • Flat hierarchies
We believe that the best results are created in a diverse and inclusive environment. Therefore, all qualified applications will be considered for employment regardless of age, race, religion, gender (identity), sexual orientation, national origin or disability.

Entry date: 04/01/2023 I Requisition Number: 1068

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