Requirements: English
Company: Select Tech
Region: Madrid , Community of Madrid
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
- 35 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.