Your Task 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 who 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 Being responsible for the entire lifecycle management of a real-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

Your Profile
We are looking for a Data Engineer with strong expertise in real-time data processing, big data technologies, and Kubernetes-based environments, along with excellent programming skills in Java and Python and strong collaboration abilities. Must Have Skills Know-how in Programming Language Java Know-how in Programming Language Python Experience with Big Data technologies like Apache Kafka Experience with Big Data technologies like Apache Flink Experience in optimizing data processing workflows Ability to analyze complex data structures and develop efficient solutions Familiarity with cloud and container technologies,



especially Kubernetes Environments Fundamental know-how in DevOps CI/CD tools such as GitLab Fundamental know-how in DevOps CI/CD tools such as Artifactory Fundamental know-how in DevOps CI/CD tools such as Helm Fundamental know-how in DevOps CI/CD tools such as Flux Fundamental know-how in monitoring systems like Grafana Fundamental know-how in monitoring systems like Promtail Fundamental know-how in monitoring systems like Prometheus Strong teamwork skills, especially in interdisciplinary collaboration Strong 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 Willingness to perform tasks outside of regular

working hours
Nice to Have Skills Experience in classic and agile forms of cooperation Additional Information 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, ) Hybrid work model (remote/on-site) Flexible

working hours
Growth & development Customized training: access to Coursera to learn whatever you want, whenever you want Weekly language classes (English & German) International Mentoring Sessions & Experience Days Compensation & benefits Adaptable compensation plan (health insurance, meal vouchers, childcare, transport) Telemedicine 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 If you are looking for a new challenge, do not hesitate to send us your CV Please send CV in English. Join our team T-Systems Iberia will only process the CVs of candidates who meet the requirements specified for each offer.

📌 Data Engineer (España)
🏢 T-Systems
📍 España