Data & AI Engineering Lead

ENGIE Group; Madrid; Híbrido; EUR 90.000 - 120.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Training plans

Hybrid work system

Health insurance among others

Descripción de la vacante

ENGIE in Madrid seeks a Data & AI Engineering Lead to architect, build, and evolve our operational data perimeter supporting Energy Trading. You will design scalable ETL pipelines, data models, analytics platforms, and dashboards using AWS, while championing an AI‑driven approach to improve decision‑making and efficiency.

You will lead a senior team of data engineers and analysts, shape data strategy, ensure data quality, and collaborate with traders, IT and business stakeholders across a hybrid

Formación

• 7+ years of experience in data engineering, analytics engineering, or cloud data architecture.
• Proficiency in Python and SQL for data engineering and analytics.
• Experience building dashboards using tools such as Power BI, QuickSight, Grafana, or similar.
• Strong understanding of data governance, metadata management, and data quality frameworks.
• Experience with Infrastructure as Code (Terraform, CloudFormation, CDK).
• Familiarity with machine learning workflows and AI‑driven solution design.

Responsabilidades

• Own and lead the design and development of the Energy Trading data platform and operational data perimeter while leading and mentoring data engineers, analysts, and developers involved in data initiatives.
• Design and manage cloud-native data architectures and infrastructure, leveraging IaC to deliver scalable, secure, high-performance, and cost-effective data solutions.
• Build and optimize scalable, secure, and high-performance AWS-based data pipelines and architectures. Ensure data quality, governance, lineage, security, and compliance across the full data lifecycle.
• Develop data models, curated datasets, dashboards, and analytics solutions that support Trading, Risk, and Operations.
• Drive the adoption of AI/ML solutions for forecasting, automation, optimization, and anomaly detection.
• Collaborate with business and technology stakeholders to translate requirements into impactful data solutions.
• Oversee the reliability, availability, and performance of the cloud data platform.

Conocimientos

Python

SQL

Data modeling

ETL/ELT design

Cloud data engineering

Architectural thinking

Stakeholder collaboration

Leadership

Herramientas

AWS data services (Glue, Lambda, S3, Athena, Redshift, EMR, Kinesis, Step Functions)

Terraform

CloudFormation

CDK

Power BI

QuickSight

Grafana

Descripción del empleo

Our 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.

At ENGIE, every person plays a key role in accelerating energy transition.

Make a difference and live a meaningful professional experience.

Take on exciting challenges, grow in an innovative environment, and build a career that reflects who you truly are.

Join us and be part of the adventure of the century!

For our headquarters in Madrid, we are looking for a Data & AI Engineering Lead to architect, build, and evolve our operational data perimeter supporting Energy Trading activities. This role is central to transforming raw operational data into reliable, actionable intelligence through modern cloud‑native data engineering, analytics, and AI‑driven solutions.

Mission

You will lead the design and implementation of scalable ETL pipelines, data models, analytics platforms, and dashboards using AWS technologies. Beyond technical execution, you will champion an AI‑oriented approach—identifying opportunities to apply machine learning, automation, and intelligent insights to improve decision‑making and operational efficiency.

This is a senior, hands‑on leadership role requiring deep expertise in cloud data engineering, strong architectural thinking, and the ability to collaborate closely with business stakeholders, traders, and IT teams. You will shape the data strategy, ensure data quality and reliability, and deliver high‑impact analytical capabilities that empower the business.

Functions

• Own and lead the design and development of the Energy Trading data platform and operational data perimeter while leading and mentoring data engineers, analysts, and developers involved in data initiatives.
• Design and manage cloud-native data architectures and infrastructure, leveraging IaC to deliver scalable, secure, high-performance, and cost-effective data solutions.
• Build and optimize scalable, secure, and high-performance AWS-based data pipelines and architectures. Ensure data quality, governance, lineage, security, and compliance across the full data lifecycle.
• Develop data models, curated datasets, dashboards, and analytics solutions that support Trading, Risk, and Operations.
• Drive the adoption of AI/ML solutions for forecasting, automation, optimization, and anomaly detection.
• Collaborate with business and technology stakeholders to translate requirements into impactful data solutions.
• Oversee the reliability, availability, and performance of the cloud data platform.
• 7+ years of experience in data engineering, analytics engineering, or cloud data architecture
• Strong hands‑on experience with AWS data services (Glue, Lambda, S3, Athena, Redshift, EMR, Kinesis, Step Functions)
• Expertise in ETL/ELT design, data modeling, and distributed data processing
• Proficiency in Python and SQL for data engineering and analytics
• Experience building dashboards using tools such as Power BI, QuickSight, Grafana, or similar
• Strong understanding of data governance, metadata management, and data quality frameworks
• Experience with Infrastructure as Code (Terraform, CloudFormation, CDK)
• Familiarity with machine learning workflows and AI‑driven solution design

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 by integrating exceptional and diverse individuals that seek, support, and strengthen each other’s growth.

What we will provide

• We will provide you with training plans adapted to your needs and interests.
• You will have a flexible schedule and a hybrid work system + reduced working days during summer and Fridays.
• You will have the chance to adhere to corporate benefits and e-Plan (transport card, kindergarten, training, meal, health insurance among others).
• You will be part of a dynamic team in which you will truly develop and grow as a professional.
• You will work with a multidisciplinary team that will support you at all times.
• You will be part of a network of more than 96,000 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!

#INGENIERAS2026

Business Unit: Supply & Energy Management

Division: BP IBERIA

Minimum Base Salary:

Maximum Base Salary:

Pay Basis: