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 integral 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 complex data structures and

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