Descripción de la empresa 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 global team, guided by respect, integrity, and a passion for doing better every day. Descripción del empleo 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 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
. Requisitos 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
Información adicional 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 PFS Admin (Madrid)
🏢 T-Systems Iberia
📍 Madrid