Job Title

Data Engineering Consultant (all levels)We’re working with a globally recognised consultancy that delivers cutting-edge digital, data, and analytics solutions to some of the most complex infrastructure projects across the UK and beyond. With a strong commitment to technical excellence, inclusion, and client impact, they partner with high-profile organisations to help them unlock the full potential of their data assets.Due to continued growth and demand for their data services, they are expanding their specialist engineering team and seeking talented Data Engineering Consultants at various seniority levels — from experienced engineers to those ready to step into leadership roles.The RoleAs a Data Engineering Consultant, you will:Collaborate with stakeholders across development, analytics, and business teams to define and implement components of the data landscape in line with strategic data goalsTranslate business and end-user needs into robust technical solutions, delivery plans, and architectural designsBuild and maintain highly automated, scalable data pipelines using modern cloud-based toolsIdentify and resolve data quality and pipeline performance issues to ensure stability and integrityContribute to the design and deployment of data lakes, warehouses, and streaming architecturesParticipate in mentoring and upskilling junior team members, supporting a high-performance, inclusive team cultureContinuously look for opportunities to improve delivery methods, introduce new technologies, and drive technical innovation across client projectsDocument processes and contribute to internal knowledge repositories and best practice librariesKey Skills & ExperienceStrong hands-on experience with Azure tooling, including:Databricks, Data Factory, Data Lake, and Synapse (or similar data warehouse tools)Azure Analysis Services or comparable BI toolingSolid programming capability in:SQL, Python, Spark, and ideally DAXFamiliarity with CI/CD, Git, and modern DevOps practices (preferably in Azure DevOps)Excellent communication skills — able to clearly explain technical concepts to both technical and non-technical audiencesAbility to operate in a client-facing environment, contributing to multi-disciplinary teams and complex programmesIdeally, experience with containerisation technologies such as Docker and KubernetesExposure to Kimball data modeling, data architecture, and performance optimisationExperience delivering end-to-end solutions involving Azure data platform componentsIf this role interests you and you would like to find out more (or find out about other roles), please apply here or contact us via (feel free to include a CV for review)