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 complex data structures and develop efficient solutions.

Familiarity with cloud and container technologies (esp. Kubernetes Environments)

Fundamental know-how in DevOps CI/CD tools (GitLab, Artifactory, Helm, Flux, …) and monitoring systems like Grafana, Promtail, Prometheus

Strong teamwork and communication skills, especially in interdisciplinary collaboration.

Problem-solving mindset and ability to work independently.

Good English skills, both written and spoken, basic German skills would be advantageous.

Nice-to-have Requirements

Experience in classic and agile forms of cooperation.

More informations Being on-call for approx. 6 weeks per year and rarely performing changes outside of regular working hours

What do we offer you? Work environment & flexibility

International, dynamic and collaborative environment

T-Social: social initiatives (sports, community, health, ...)

Customized training: access to Coursera to learn whatever you want, whenever you want

Weekly language classes (English & German)

International Mentoring Sessions & Experience Days

Life and accident insurance

Social fund

Wellbeing & time off

26+ working days of vacation per year

Free access to specialist services (medical, legal, wellness)

100% salary coverage during medical leave

And many more advantages for being part of T-Systems!

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