Head of Data & AI Engineering for Energy Trading Platform

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

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