Real-Time Data Engineer: ETL, Kafka & Kubernetes

T-Systems Iberia; Granada, Madrid; In loco; EUR 45.000 - 65.000; Tempo pieno

Vantaggi offerti da questo lavoro

Coursera training

Weekly language classes (EN/DE)

Life and accident insurance

26+ vacation days

Social fund

Descrizione del lavoro

T-Systems, part of Deutsche Telekom, is looking for a Data Engineer to own end-to-end data pipelines and support real-time processing on a Kubernetes platform. You will work with Data Scientists, DevOps, and internal teams to implement, monitor, and optimize data workflows.

We value cloud/container familiarity, DevOps practices, and strong communication. English is required; basic German helps. Competitive benefits include extensive time off, training opportunities, and wellbeing programs.

Competenze

• Know-how in Java and Python.
• Experience with Kafka and Flink.
• Experience in optimizing data processing workflows.
• Ability to analyze complex data structures and develop efficient solutions.
• Familiarity with cloud and container technologies (Kubernetes).
• Experience with CI/CD tools (GitLab, Artifactory, Helm, Flux) and monitoring (Grafana, Promtail, Prometheus).
• Strong teamwork and communication skills.
• Problem-solving mindset and ability to work independently.
• Good English, basic German helpful.

Mansioni

• Lifecycle management of 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 environments.
• System monitoring and maintenance to guarantee 24/7 availability.
• Rollout management per ITIL/corporate processes.
• Collaborate with DataScientists and Customers.
• Willingness to perform tasks outside regular working hours.

Conoscenze

Java

Python

Kafka

Flink

Kubernetes

CI/CD

Monitoring

Teamwork

English

Strumenti

GitLab

Artifactory

Helm

Flux

Grafana

Prometheus

Descrizione del lavoro

T-Systems, part of Deutsche Telekom, is looking for a Data Engineer to own end-to-end data pipelines and support real-time processing on a Kubernetes platform. You will work with Data Scientists, DevOps, and internal teams to implement, monitor, and optimize data workflows.

We value cloud/container familiarity, DevOps practices, and strong communication. English is required; basic German helps. Competitive benefits include extensive time off, training opportunities, and wellbeing programs.