Data Engineer
Hace 3 días
madrid, comunidad de madrid, España
Senovo IT Ltd
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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
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