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. In this, the tasks and requirements of the unit Information Technology are varied. IT takes care all matters relating to information technology, i.e. electronic data processing. The responsibilities vary from IT-infrastructure to digitization of the organization to the operational use of electronic data processing throughout the organization.
How you will CELLebrate
- Responsibility for realizing Data Platform Features in cooperation with the Product Owner and Cloud Data Architect
- Aligning with the Data Producers and provide data access to the Data Consumers
- Designing and implementing data pipelines, data storage and data processing solutions
- Ensuring the scalability, security and availability of the data infrastructure
- Collaborating with data architects and cross-functional teams to understand business requirements and develop data-driven solutions
- Optimizing the performance and scalability of the data infrastructure
What you need for our CELLebration
- Bachelor's or Master's degree in Computer Science, Information Systems or related field
- Excellent knowledge of programming languages such as Python or Java as well as excellent knowledge of data query languages like SQL and experience with ETL and ELT processes
- Excellent knowledge of data warehousing, data pipeline and data processing technologies
- 2+ years experience with cloud platforms, e.g. Azure
- Experience connecting the metadata of e.g. Informatica MDM with the Data on Azure as well as experience with big data technologies like Hadoop, Spark
- Knowledge on DevOps methodologies and tooling
- Experience working in an agile environment (Scrum/ KANBAN/ SAFe)
- Fluent in German and English
What else can you bring
- Experience with containerization and container orchestration technologies such as Docker and Kubernetes is a plus
- Certifications such as AWS Data Engineering, Azure Data Engineering, or GCP Data Engineering is a plus
- Ability to work in a team with a high degree of self-initiative
- Strong communication skills
- Strong technical focus and willingness to continuously develop knowledge
What to look forward to
- Flexible working hours from 28 to 40h per week
- Possibility of a 4-day-week (up to 35h per week)
- 30 days paid + 10 days unpaid leave
- Mobile work options
- Relocation support
- More benefits to come
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: 11/01/2023 I Requisition Number: 1451
