Senior Data and AI Engineer

• Design, build, and operate reliable, secure, and observable data pipelines and curated datasets that power enterprise reporting, analytics, and AI/ML use cases.
• Own engineering quality, performance, and cost optimisation, implementing robust data quality controls, testing frameworks, monitoring, and observability across the platform.
• Build and maintain production-grade data infrastructure on Azure / Microsoft Fabric, including data lakes, lakehouses, and modern data warehouse patterns.
• Lead AI/ML engineering use cases, applying engineering best practice to model pipelines, data preparation, and AI-ready dataset design at scale.

This role directly supports the transition to affordable, zero-carbon energy by building the data and AI infrastructure that enables RES to optimize renewable energy operations and drive innovation in the sector.

• Deep expertise in the Microsoft Azure data ecosystem (ADF, Synapse, Fabric, Purview, Unity Catalogue).
• Advanced Python skills including open-source data libraries and frameworks.
• Expert-level SQL for data modelling, transformation, and query optimisation.
• Experience with MLOps practices: CI/CD for data pipelines, infrastructure as code, containerisation, and orchestration tools like Airflow.

Competitive salary, benefits, and commitment to professional development. Join a new, agile, global data and analytics team at the heart of AI and innovation, with a modern cloud-first stack and opportunities to shape your career at the forefront of technology.

RES is the world's largest independent renewable energy company, with a mission to create a future where everyone has access to affordable, zero-carbon energy.