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# Data Engineer

- **Company:** T-Systems Iberia
- **Location:** Madrid, Spain
- **Contract:** Temporary contract
- **Skills:** Java (Programming Language), Application Lifecycle Management, Big Data, Computer Programming, Extract Transform Load (ETL), Data Structures, DevOps, Monitoring of Systems, Python (Programming Language), Prometheus, Data Processing, Grafana, Gitlab, Containerization, Kubernetes, Apache Flink, Apache Kafka, Stream Processing, Data Pipelines, Artifactory
- **Published:** November 6, 2026
- **Apply:** https://www.adzuna.es/details/5954156726

## About the Role

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

## Description

* 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