​Our client is dedicated to supporting the journey to net zero by delivering tailored sustainable solutions. Through market-leading procurement services, expert advice, and engineering excellence, they help drive significant reductions in costs, energy use, and carbon emissions. Their commitment to fostering professional and personal growth creates an environment where every team member can thrive.

The Opportunity

We are seeking a skilled Data Engineer to join our client’s dynamic Data Team. In this role, you will play a key part in designing, building, and maintaining data solutions that support internal reporting and customer-facing applications. Using cutting-edge technologies, you will develop scalable data pipelines that integrate diverse data sources and ensure data quality within a new Data Platform supporting real-time application integration and reporting.

You will collaborate closely with business stakeholders to deliver clean, secure, and performant datasets that empower data-driven decision-making across the organization.

Key Responsibilities:

• Own and deliver assigned projects and ongoing tasks with accountability

• Maintain and optimize data pipelines using Azure Data Factory and Synapse Analytics

• Transform raw data from multiple CRM systems into harmonized, curated datasets

• Develop event-driven processes for use by various system subscribers

• Investigate and document architectural solutions to promote best practices within the Data Team

• Build data science tools to enhance insights into customer data

• Keep project documentation up-to-date using Azure DevOps

• Maintain and improve operational runbooks for data engineering tasks

• Develop instrumentation and monitoring for automated IT processes

• Take a leadership role within the engineering function of the team

Skills & Experience:

• Proficient with cloud-based data engineering tools such as Azure Data Factory, Synapse Analytics, AWS S3, and Lambda

• Experienced in PySpark for ELT processes

• Strong analytical, problem-solving, and communication skills

• Ability to work independently and collaboratively across teams

• Proven track record in designing and evaluating engineering solutions

• Formal qualification in data engineering or related discipline

• Experience leading or contributing to data engineering teams and technical projects

• Familiarity with Azure cloud stack and proactive analytics functions

• Experience in the Utilities sector is a strong advantage

Qualifications:

• Bachelor’s degree or higher in Computing, Software Development, or related field

• Full UK driving license