Backend Engineer: Scalable Data Platforms on Azure

Kureos (Conficio Recruitment Limited); Madrid; Presencial; EUR 60.000 - 90.000; Jornada completa

Descripción de la vacante

Kureos is seeking an experienced Backend Engineer in Madrid to build scalable data platforms and cloud infrastructure powering energy trading decisions. You will develop robust APIs, data pipelines, and high-availability services as part of a cross-functional engineering team.

You’ll work with Python, C#, or Java on Azure cloud, Kubernetes, and CI/CD, shaping data models, governance, and platform automation to deliver reliable performance in a fast-moving energy market.

Formación

• 7+ years of back-end development experience.
• Proficient in Python, C#, or Java.
• Experience with Azure, Kubernetes, CI/CD and DevOps practices.
• Relational database expertise (PostgreSQL).
• Experience with Apache Airflow, Prefect or similar workflow tools.
• Strong problem-solving and stakeholder communication skills.
• Fluent English (Spanish advantageous).

Responsabilidades

• Build and enhance scalable back-end services and APIs.
• Develop robust data integration and ingestion pipelines.
• Design high-performance data models and storage solutions.
• Improve data quality, governance and lineage tooling.
• Translate business requirements into resilient technical solutions.
• Collaborate on Azure cloud infrastructure and platform automation.
• Drive reliable, high-availability systems supporting energy trading.

Conocimientos

Back-end development

Python

C#

Java

Kubernetes

CI/CD

DevOps practices

Airflow

Prefect

English fluency

Energy trading

Herramientas

Azure

PostgreSQL

Descripción del empleo

Kureos is seeking an experienced Backend Engineer in Madrid to build scalable data platforms and cloud infrastructure powering energy trading decisions. You will develop robust APIs, data pipelines, and high-availability services as part of a cross-functional engineering team.

You’ll work with Python, C#, or Java on Azure cloud, Kubernetes, and CI/CD, shaping data models, governance, and platform automation to deliver reliable performance in a fast-moving energy market.