T-Systems is part of the Deutsche Telekom Group, with around 30.000 employees worldwide. We create technology with purpose to generate a positive impact on society. We are looking for curious talent, eager to learn, take on challenges, and contribute ideas that transform our customers' experience.
We trust people: we offer autonomy, continuous support, and a collaborative environment where you can grow without limits. We are one general team, guided by respect, integrity, and a passion for doing better every day.
The team is responsible for the development of Data Analytics & AI Use Cases for the Network Control Platform of Deutsche Telekom Germany (AAA Fixed Net Germany). This also includes our real-time data processing pipeline running on an on-prem kubernetes platform.
We are looking for a Data Engineer which will be responsible for the entire lifecycle and further development of the data processing pipelines.
You will be working in a team with DataScientists and DevOps Engineers. You also will be working closely with other internal teams, internal customers and external suppliers.




Responsibilities and Duties
- Being responsible for the entire lifecycle management of a realt-time data processing pipeline
- Development and Optimization of Data Pipelines (ETL)
- Integration of new data sources
- Implement new technologies and tools to enhance data processing capabilities
- Implementation and operation on Kubernetes based environments
- System Monitoring and Maintenance to guarantee 24/7 availability.
- Rollout management throughout the entire application lifecycle based on ITIL/corporate processes (Incident/problem/change)
- Collaborate closely with DataScientists and Customers
- Willingness to perform tasks outside of regular working hours.

Must-have Requirements
- Know-how in Programming Language Java and Python
- Experience with Big Data technologies like Apache Kafka and Apache Flink
- Experience in optimizing data processing workflows
- Ability to analyze comp

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