This position is at T-Systems

The selection process will be entirely managed by T-Systems.

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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

- Versátil 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.

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