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 integral 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 informationsBeing on-call for approx. 6 weeks per year and rarely performing changes outside of regular working hoursWhat 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 fundWellbeing & time off- 26+ working days of vacation per year- Free access to specialist services (medical, legal, wellness)- 100% salary coverage during medical leaveAnd many more advantages for being part of T-Systems!#J-18808-Ljbffr

📌 Data Engineer Pfs Admin & Tool (M/F/D) (Madrid)
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📍 Madrid