> Markdown version of [/jobs/ext/3592369-data-engineer-pfs-admin-tool](https://www.wearedevelopers.com/jobs/ext/3592369-data-engineer-pfs-admin-tool). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer PFS Admin & Tool - **Company:** T-systems International - **Location:** Madrid, Spain (Remote available) - **Contract:** Temporary contract - **Skills:** Java (Programming Language), Application Lifecycle Management, Big Data, Cloud Computing, Extract Transform Load (ETL), Data Structures, DevOps, Monitoring of Systems, Python (Programming Language), Network Control, Prometheus, Data Processing, Grafana, Gitlab, Containerization, Kubernetes, Apache Flink, Data Analytics, Apache Kafka, Virtual Agents, Data Pipelines, Artifactory - **Published:** October 6, 2026 - **Apply:** https://www.recruit.net/job/data-engineer-pfs-admin-tool-jobs/0C91BBFA1155B0F0 ## About the Role * 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. ## Description 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., 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. Solicitar ahora Guardar trabajo Automatically Get Matched to Data Engineer Jobs Let our AI agent search and match you to the best jobs from across the web Try it now