Data Engineer

Data Ops Engineer

Contract Opportunity (3-Year Engagement with Path to Full-Time Employment)

Location: Madrid (Hybrid)

Company: Select Tech (on behalf of a renewable energy client)

Select Tech is partnering with a leading renewable energy company with a growing footprint in Madrid. We are currently looking for a Medior-level Data Ops Engineer with strong expertise in Microsoft Azure to join their team on a 3-year contract engagement, with a view to transition into a full-time role within the business.

Role Overview:

This role focuses on ensuring the reliability, availability and performance of cloud-based data pipelines and infrastructure. You will work closely with Data Engineering and Design teams to oversee daily operations, optimize data flow, and troubleshoot performance issues in a collaborative environment.

Key Responsibilities:

Data Operations & Monitoring

• Ensure the stability and scalability of Azure-based data solutions.
• Monitor Azure Data Factory, Synapse Analytics, and SQL databases.
• Create dashboards and set up alerts using Azure Monitor, Log Analytics, and Application Insights.
• Maintain data consistency, integrity, and governance across pipelines.

Incident Management & Troubleshooting

• Respond to pipeline failures, data ingestion issues, and performance bottlenecks.
• Perform RCA and implement permanent solutions to recurring problems.
• Collaborate with DevOps and Cloud teams on infrastructure-level incidents.

Automation & Optimization

• Automate operational workflows using PowerShell, Python, or Azure Functions.
• Optimize ETL/ELT processes to reduce manual intervention and improve cost-efficiency.
• Monitor and manage Azure cost and usage.

Security & Compliance

• Implement robust security measures including RBAC, encryption, and authentication.
• Ensure compliance with GDPR, ISO 27001, and other relevant standards.
• Conduct periodic access reviews and audits.

Collaboration & Documentation

• Partner with Data Engineers to enhance data operational workflows.
• Develop comprehensive SOPs, troubleshooting documentation, and runbooks.
• Share knowledge through training and mentorship of junior staff.

Required Skills & Experience:

Education & Experience

• 3-5 years' experience in DataOps, Data Engineering, or Cloud Operations.
• Proven hands-on experience with Microsoft Azure Data Services.

Technical Expertise

• Azure Data Factory, Synapse Analytics, Azure SQL Database, Data Lake, Azure Functions.
• Monitoring: Azure Monitor, Log Analytics, Application Insights.
• Automation: PowerShell, Python, Bash.
• IaC & CI/CD: Azure DevOps, Terraform, Bicep.
• Strong understanding of data security, RBAC, and compliance frameworks.

Soft Skills

• Analytical mindset and strong problem-solving abilities.
• Effective under pressure, with strong time and task management.
• Excellent communication and documentation skills.

Nice-to-Have:

• Familiarity with Azure Purview and Azure Data Governance.
• Understanding of ITIL-based operations.