Data Architect -

Senovo IT Ltd; Madrid; Presencial; EUR 40.000 - 60.000; Jornada completa

Descripción de la vacante

A leading technology firm in Madrid is seeking an experienced Data Engineer to join their growing data team. You will design and maintain scalable data pipelines using Databricks and manage CI/CD processes alongside cross-functional teams. The ideal candidate has over 4 years of experience and strong skills in data infrastructure automation. This role offers the opportunity to work in a collaborative setting with excellent growth potential.

Formación

• 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.
• Solid understanding of Kubernetes for container orchestration.
• Experience implementing infrastructure as code using Terraform.
• Proven experience managing CI/CD pipelines for data solutions.
• Strong understanding of data modeling and ETL processes.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration abilities.

Responsabilidades

• Design, develop, and maintain data pipelines and workflows in Databricks.
• Build and manage data transformation models using dbt.
• Implement and support infrastructure automation with Terraform and Kubernetes.
• Develop and maintain CI/CD pipelines for data integration.
• Collaborate with teams to ensure efficient data flow.
• Monitor and troubleshoot data infrastructure for performance.

Conocimientos

Databricks

dbt

Azure DevOps

Kubernetes

Terraform

CI/CD pipelines

Data modeling

ETL processes

Problem-solving skills

Collaboration abilities

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.