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.

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 pro

📌 Data Engineer PFS Admin (Madrid)
🏢 T-Systems Iberia
📍 Madrid