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 OpportunityWe 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 accountabilityMaintain and optimize data pipelines using Azure Data Factory and Synapse AnalyticsTransform raw data from multiple CRM systems into harmonized, curated datasetsDevelop event-driven processes for use by various system subscribersInvestigate and document architectural solutions to promote best practices within the Data TeamBuild data science tools to enhance insights into customer dataKeep project documentation up-to-date using Azure DevOpsMaintain and improve operational runbooks for data engineering tasksDevelop instrumentation and monitoring for automated IT processesTake a leadership role within the engineering function of the teamSkills & Experience:Proficient with cloud-based data engineering tools such as Azure Data Factory, Synapse Analytics, AWS S3, and LambdaExperienced in PySpark for ELT processesStrong analytical, problem-solving, and communication skillsAbility to work independently and collaboratively across teamsProven track record in designing and evaluating engineering solutionsFormal qualification in data engineering or related disciplineExperience leading or contributing to data engineering teams and technical projectsFamiliarity with Azure cloud stack and proactive analytics functionsExperience in the Utilities sector is a strong advantageQualifications:Bachelor's degree or higher in Computing, Software Development, or related fieldFull UK driving license
