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Real-Time Data Engineer - Etl, Kubernetes & Analytics

T-Systems Iberia
Madrid, Spain
7 days ago

Role details

Contract type
Apprenticeship
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
www.buscojobs.com.es

Tech stack

Java (Programming Language) Data Analysis Continuous Integration Extract Transform Load (ETL) DevOps Python (Programming Language) Data Processing Kubernetes Apache Flink Real Time Data Apache Kafka

Job description

T-Systems Iberia, líder en soluciones tecnológicas, busca un Data Engineer para gestionar el ciclo de vida de pipelines de procesamiento de datos en tiempo real y colaborar con Data Scientists y DevOps en un entorno on-prem con Kubernetes.Se valoran experiencia en Java/Python, Kafka y Flink, y habilidades en CI/CD y monitoreo.Modelo de trabajo híbrido, con oportunidades de desarrollo y aprendizaje continuo.#J-*****-Ljbffr

Requirements

Se valoran experiencia en Java/Python, Kafka y Flink, y habilidades en CI/CD y monitoreo.

Benefits & conditions

Modelo de trabajo híbrido, con oportunidades de desarrollo y aprendizaje continuo.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.buscojobs.com.es

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

3:55 min

Infrastructure challenges when combining Kafka with Apache Flink

Bobur Umurzokov · LIVE

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

2:28 min

Understanding Kubernetes architecture and core cluster components

Marc Nimmerrichter · WWC 2022

2:17 min

Mapping the maturity roadmap for scaled devops adoption

Dominik Krichbaum Dominik Krichbaum · WWC Europe 2026

1:09 min

Evaluating mature stream processing frameworks for production systems

Soroosh Khodami Soroosh Khodami · WWC 2024

2:04 min

Comparing offline data analytics with online stream processing

Artem Volk Artem Volk +1 · WWC 2024

Videos

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30:51
WWC 2024 • almost 2 years ago

Why and when should we consider Stream Processing frameworks in our solutions

Soroosh Khodami

Understanding Kubernetes in a visual way thumbnail
29:05
WWC Europe 2026 • about 1 month ago

Understanding Kubernetes in a visual way

Aurélie Vache

From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform thumbnail
22:57
WWC Europe 2026 • about 1 month ago

From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform

Dominik Krichbaum

From Messy Queries to Scalable Systems - How Data Engineering actually works thumbnail
31:15
WWC Europe 2026 • about 1 month ago

From Messy Queries to Scalable Systems - How Data Engineering actually works

Sandhya Menon

Python-Based Data Streaming Pipelines Within Minutes thumbnail
39:04
LIVE • almost 2 years ago

Python-Based Data Streaming Pipelines Within Minutes

Bobur Umurzokov

Building the platform for providing ML predictions based on real-time player activity thumbnail
30:57
WWC 2024 • almost 2 years ago

Building the platform for providing ML predictions based on real-time player activity

Artem Volk, Fabian Zillgens

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