About The JobOur Group is a global reference in low-carbon energy and services. Together with our 96.000 employees, our customers, partners and stakeholders, we are committed to accelerating the transition to a carbon neutral economy through reduced energy consumption and more environmentally friendly solutions.

We are looking for a Data Analyst to lead the digital transformation of business operations by streamlining workflows and developing robust, scalable data solutions that enhance performance and support data-driven decision-making.

Mission

Your mission is to drive the digital transformation of business processes by automating workflows and delivering high-quality, scalable data solutions that support performance optimization and informed decision-making. You will act as a key contributor across the entire data stack-from ETL pipelines and data modeling to the development of impactful BI dashboards-while ensuring technical excellence, operational stability, and continuous service improvement.

You will also play a proactive role in managing operational issues, addressing escalations, and supporting major incident and problem management, contributing to service excellence and customer satisfaction across the organization.

Functions

• Automate and optimize recurrent business processes through scripting and data tools.
• Design and build scalable data architecture and pipelines (ETL/ELT).
• Develop and maintain performance monitoring dashboards and BI reports (Power BI).
• Ensure the quality, scalability, and maintainability of solutions through rigorous testing and adherence to best practices.
• Manage and report application service performance, addressing gaps and proposing improvements.
• Participate in incident management, root cause analysis, and problem resolution.
• Collaborate with business stakeholders to align data solutions with strategic objectives.
• Support the definition of data governance frameworks, reporting standards, and performance indicators.
• Contribute to customer satisfaction and continuous improvement initiatives.

Minium requirement

• 2+ years of experience in data modeling, ETL/ELT development, and data warehousing.
• Proven experience with SQL/NoSQL databases, AWS services, and data engineering tools.
• Strong background in Python, Apache Airflow, Spark, and Lambda Functions.
• Experience deploying end-to-end solutions
• Proficiency in python and BI tools (e.g., Power BI).
• Solid understanding of database design principles.
• Hands-on experience in data architecture, pipeline development, and cloud-based services (AWS).
• Fluent in English

Committed to inclusion

At ENGIE we value and encourage diversity and inclusion. We are committed to accelerating the transition to a carbon neutral economy achieved through the integration of exceptional and diverse individuals who seek, support and strengthen the growth of others.

What We Provide

• You will have a flexible schedule and a hybrid work syste
• You will have the opportunity to join the flexible compensation system (transport card, childcare voucher, training, meal voucher, health insurance, among others)
• You will be part of a dynamic team where you will truly develop and grow as a professional
• You will work with a multidisciplinary team that will support you at all time
• You will be part of a network of professionals working to create a more sustainable world.

ENGIE is the answer if...

• You are looking for a solid professional project with professional projection.
• You value being part of the first independent energy group in the world.
• You want to grow and develop within a dynamic and challenging company.
• If you consider that your work, together with the efforts of the people who arE part of the company, can and should have a positive impact on the environment.
• If you want to be part of an international group, able to offer a wide variety of jobs in a dynamic and promising sector, we are waiting for you!

Business Unit: GBU Renewables

Division: REN Europe - Spain

Legal Entity: Engie España Renovables, S.L.U.

Professional Experience: Skilled ( >3 experience <15 years)

Education Level: Bachelor's Degree