Latest UK roles, updated daily.
The Data Automations Manager leads the Salesforce ecosystem for customer engagement, ensuring data flows, automation, and team development. They maintain the Single Customer View, enhance data hygiene, and support multi-channel journeys while leading a team of Data Automation Leads.
The Lead Data Engineer will develop, maintain, and quality assure numerical models for calculating pEPR fees and producer payments. They will lead the data strategy, ensuring robust and transparent processes, and collaborate across teams to support decision-making and policy development.
Design and maintain data pipelines and corporate data models on a Microsoft Azure-based BI platform, integrating data from multiple source systems to support reporting and analytics for children and families services. Develop Power BI dashboards and enable self-service data access for operational and senior stakeholders. Work within a transformation programme to improve data quality, governance, and performance across the local authority.
This role involves working as a trusted technical advisor to Databricks' largest and most complex customers, designing and promoting adoption of the Databricks Lakehouse platform. You'll lead technical engagements, develop customer-specific solutions, and collaborate with cross-functional teams to address data analytics and AI challenges. The position emphasizes pre-sales engineering, proof-of-concept development, and thought leadership in cloud data architectures.
This role involves working closely with Databricks' largest UK & Ireland enterprise customers in the retail and consumer goods sectors to design and implement data and AI solutions using the Databricks Lakehouse Platform. The Senior Solutions Architect will lead technical engagements, develop custom proof-of-concepts, and act as a trusted advisor on data architecture and Generative AI adoption. They will also mentor junior team members and contribute to technical community initiatives through workshops and thought leadership.
This role involves designing and developing scalable, automated data pipelines on Azure, working across the full data lifecycle from ingestion to delivery. You'll collaborate with data engineers, architects, and BI teams in an agile environment, ensuring data quality and performance.
This role involves migrating data from MySQL to Google BigQuery, with a focus on scripting and SQL. The project is on-site in Oxford, requiring 5 days per week for 3 months, with potential for extension.
This role involves building and maintaining a modern Azure-based data platform, focusing on developing scalable data pipelines, data transformation, and ensuring data quality. You will work closely with data engineers, architects, and other teams in an agile environment.
This role involves supporting data analytics initiatives, running reporting workflows, and delivering actionable insights to senior management. You will work closely with the core analytics team to gather requirements, build data pipelines, and analyze datasets from key enterprise systems.
The Data Engineer will design, build, and maintain efficient data pipelines to support analytics and decision-making. They will collaborate with analytics teams, troubleshoot data issues, and ensure seamless data integration and accessibility.
This role involves leading the design and development of a modern, enterprise-level data platform using Azure and Databricks. Responsibilities include building robust data pipelines, ensuring data quality and security, and mentoring an Analytics Engineer. The position offers the opportunity to shape the future of data engineering within a large, complex organization.
The QAD Solution Engineer role involves hands-on development, maintenance, and technical support of the QAD ERP system. Responsibilities include coding, database maintenance, integration support, and troubleshooting, leveraging skills in Progress 4GL/ABL and SQL.
This role involves leading the development of AI features in a legal tech SaaS platform, focusing on designing and building ML models for document parsing, search, classification, and summarisation. You will integrate LLMs into product workflows, optimise model serving on AWS, and build data pipelines for training and evaluation.
This role involves designing, developing, and optimizing modern data platforms using Azure Databricks. Responsibilities include building scalable data pipelines, managing large datasets, and implementing Lakehouse architectures on Azure Data Lake Storage Gen2. The position offers a hybrid work pattern with 3 days on-site in Nottingham.
This role involves leading the design and development of a modern, enterprise-level data platform, building robust data pipelines, and integrating multiple systems. You will shape the data engineering strategy, influence direction, and mentor team members while working with Azure, Databricks, and other modern data technologies.
