Hybrid DataOps Engineer for Personalization Platform

Christy Media Solutions; Madrid; Híbrido; EUR 60.000 - 90.000; Jornada completa

Descripción de la vacante

Christy Media Solutions is partnering with a technology client in Madrid to expand its data engineering function. The DataOps Engineer will design, build and operate data pipelines and cloud infrastructure to support a Personalization platform.

The role offers growth towards Senior DataOps within the first year. The candidate will work across data engineering, backend systems and AWS infrastructure in a small, growing team with Madrid-based hybrid work (three days in the office).

Formación

• Strong Python development and coding skills.
• Excellent SQL skills.
• Hands-on AWS cloud experience.
• Experience designing, developing and maintaining production data pipelines.
• Strong foundations in backend and data engineering.

Responsabilidades

• Designing, building and maintaining reliable data ingestion and processing pipelines.
• Developing and maintaining Python-based backend services and integrations.
• Working with large, diverse datasets to support analytics, recommendations and personalization.
• Developing and operating cloud-based systems within AWS.
• Improving data orchestration, monitoring and performance.
• Contributing to CI/CD pipelines, automated testing and deployment processes.
• Troubleshooting and improving existing production systems.
• Collaborating with engineering colleagues and supporting less experienced team members.
• Supporting the integration of client data into the Personalization platform.

Conocimientos

Python development

SQL

AWS

Data pipelines

Backend engineering

Data orchestration

CI/CD

Independent working

Media tech experience

Herramientas

AWS

Terraform

CloudFormation

AWS CDK

OpenTelemetry

Descripción del empleo

Christy Media Solutions is partnering with a technology client in Madrid to expand its data engineering function. The DataOps Engineer will design, build and operate data pipelines and cloud infrastructure to support a Personalization platform.

The role offers growth towards Senior DataOps within the first year. The candidate will work across data engineering, backend systems and AWS infrastructure in a small, growing team with Madrid-based hybrid work (three days in the office).