Data Engineer

Select Tech; Madrid; Presencial; EUR 40.000 - 60.000; Jornada completa

Descripción de la vacante

Select Tech is seeking a Medior-level Data Ops Engineer to work with a leading renewable energy company in Madrid. This role entails ensuring the performance and reliability of cloud data solutions while collaborating across teams. Responsibilities include monitoring operations, automating tasks, and ensuring compliance with standards. A strong background in Azure and data operations is required for this position, which offers a path to full-time employment.

Formación

• Experience in DataOps or similar field is required.
• Hands-on Azure experience necessary for this role.
• Strong understanding of data security and compliance frameworks.

Responsabilidades

• Ensure reliability and performance of Azure data pipelines.
• Automate workflows and optimize ETL processes.
• Implement security measures and conduct compliance audits.

Conocimientos

Azure Data Services

Automation

Data Security

Problem Solving

Communication

Educación

3-5 years in DataOps, Data Engineering, or Cloud Operations

Herramientas

PowerShell

Python

Azure Monitor

SQL databases

Azure Data Factory

Descripción del empleo

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.
• 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.
• 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

• Automation : PowerShell, Python, Bash.
• 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.