Data Engineer (Madrid/Barcelona)

Senovo IT Ltd; Madrid; Presencial; EUR 55.000 - 75.000; Jornada completa

Descripción de la vacante

A technology firm is looking for an experienced Data Engineer to join their data team in Madrid. The ideal candidate will focus on designing and maintaining data pipelines while collaborating with cross-functional teams. Successful applicants should have over 4 years of experience in related fields with strong skills in Databricks, CI/CD, and infrastructure automation. Competitive employment type is contract.

Formación

• 4+ years of hands-on experience as a Data Engineer or similar role.
• Strong proficiency in Databricks and dbt.
• Experience with Azure DevOps for pipeline orchestration.
• Solid understanding of Kubernetes for container orchestration.
• Experience implementing infrastructure as code using Terraform.
• Proven experience setting up and managing CI/CD pipelines.
• Strong understanding of data modeling and ETL processes.

Responsabilidades

• Design, develop, and maintain data pipelines and workflows.
• Build and manage data transformation models using dbt.
• Implement and support infrastructure automation with Terraform.
• Develop and maintain CI/CD pipelines for data integration.
• Collaborate with teams for efficient data flow and architecture.

Conocimientos

Data pipelines and workflows

Databricks

dbt (Data Build Tool)

Infrastructure automation

Terraform

Kubernetes

CI/CD pipelines

Azure DevOps

Descripción del empleo

We are looking for an experienced Data Engineer to join our growing data team. The ideal candidate will have a strong background in building and maintaining scalable data pipelines, managing infrastructure as code, and ensuring smooth CI/CD integration across environments. You’ll work closely with cross‑functional teams to design, implement, and optimize data solutions that drive key business insights.

Key Responsibilities

• Design, develop, and maintain data pipelines and workflows in Databricks.
• Build and manage data transformation models using dbt (Data Build Tool).
• Implement and support infrastructure automation with Terraform and Kubernetes.
• Develop and maintain CI/CD pipelines for data integration and deployment processes.
• Collaborate with data scientists, analysts, and engineers to ensure efficient data flow and architecture.
• Monitor, optimize, and troubleshoot data infrastructure for performance and scalability.
• Work with Azure DevOps to manage repositories, pipelines, and deployments.
• Ensure best practices in data quality, version control, and infrastructure reliability.

Required Skills & Qualifications

• 4+ years of hands‑on experience as a Data Engineer or in a similar role.
• Strong proficiency in Databricks and dbt.
• Experience with Azure DevOps for pipeline orchestration and version control.
• Solid understanding of Kubernetes for container orchestration.
• Experience implementing infrastructure as code using Terraform.
• Proven experience setting up and managing CI/CD pipelines for data solutions.
• Strong understanding of data modeling, ETL processes, and cloud‑based data architectures.
• Excellent problem‑solving skills and attention to detail.
• Strong communication and collaboration abilities within agile teams.

Seniority level

• Mid‑Senior level

Employment type

• Contract

Job function

• Information Technology

Industries

• Staffing and Recruiting

Location: Madrid, Community of Madrid, Spain