6 of 6 Azure Synapse Analytics Jobs in Oxfordshire

growing team. This organisation is driving digital transformation for a wide range of businesses across the UK, specialising in delivering innovative solutions using the Azure tech stack as well as emerging technologies like Microsoft Fabric. They are known for their consultative approach, working closely with clients to design tailored … solutions that improve efficiency, enable self-sufficiency and accelerate growth. With a strong focus on scalable analytics and advanced business intelligence, they are modernising data platforms to deliver future-ready solutions. This is a chance to join a genuinely people-focused, high-performing consultancy where you play a trusted ...

systems including SIS (e.g., Banner, Workday Student), LMS/VLE (Moodle, Canvas), CRM (Salesforce), library systems, HR/Finance (ERP), and identity platforms (e.g., Azure AD). Govern AI responsibly Implement a practical AI governance framework that includes a use case register, risk scoring, impact assessments, model documentation … with value; negotiate campus-wide licensing where beneficial. What you bring: Education Bachelor's or Master's degree in Data Science, Computer Science, Business Analytics, or a related discipline. Knowledge and skills Essential Product and outcome mindset: frames problems as hypotheses, focuses on measurable impact, and is willing ...

transform data capabilities. About the Role The successful candidate will play a key role in designing and implementing scalable data solutions using the Microsoft Azure Data Stack. You'll work closely with stakeholders to translate business requirements into robust technical architectures, ensuring best practices in data governance, security … performance. Key Responsibilities Design and optimise data pipelines and ETL processes using Azure Data Factory and Databricks. Develop and maintain data models, transformations, and integrations across multiple systems. Collaborate with client teams to deliver high-quality, timely solutions. Mentor junior engineers and contribute to architectural decisions. Implement best practices ...

forward-thinking organisation that is transforming its data landscape. You will be the technical lead on the migration of the company's existing Azure Data Platform to Databricks where you will be responsible for the build of the new platform before overseeing the decommissioning of legacy systems. This … Data Engineers, setting the standard for best practices and influencing the organisation's data strategy. Longer term, you'll help integrate AI and advanced analytics into the data ecosystem. Responsibilities Lead and mentor a team of Data Engineers, fostering collaboration and technical excellence. Act as technical lead ...

migrating legacy systems to Databricks, designing scalable architectures and embedding best practices across the team. Longer term, you will help integrate AI and advanced analytics into the organisation's data ecosystem. Responsibilities Lead a team of Data Engineers, fostering collaboration and driving technical excellence. Architect and implement robust, cloud … first data solutions. Drive migration projects from Azure to Databricks. Develop high-performance data pipelines and optimise ETL processes. Explore emerging technologies to keep the organisation ahead of the curve. Skills and Experience Proven experience as a Senior or Lead Data Engineer. Hands-on experience with Databricks and PySpark ...

best practice standards for data engineering across the organisation. The position involves playing a key role in an exciting project to migrate an existing Azure data platform into Databricks, while also handling day-to-day data engineering responsibilities. Longer term, the role will focus on shaping the approach … engineers, fostering a culture of excellence and collaboration. Define and implement best practices for data engineering processes and standards. Drive the migration of the Azure data platform into Databricks. Design, build, and maintain robust data pipelines and solutions. Collaborate with stakeholders to ensure data solutions meet business needs. Explore ...