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.
This role involves working on a large-scale technology programme, designing, building, governing, and operating data and ML platforms. Opportunities span various technical disciplines, including architecture, engineering, security, and operations, with roles for both hands-on specialists and technical leaders.
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.
The Data Engineer will support a major MOD programme by designing, developing, and maintaining secure data solutions. Key responsibilities include building and optimizing data pipelines, managing complex datasets, ensuring data quality and security, and collaborating with data analysts and technical teams.
This role involves leading hands-on data engineering and software engineering delivery for a major airline's Data & AI team. Responsibilities include technical leadership, mentoring engineers, designing scalable data solutions on AWS, implementing CI/CD, and exploring AI-assisted development to improve productivity.
This role involves developing and maintaining data pipelines, transforming and normalising data from multiple sources, and implementing checks to ensure data accuracy and consistency. You'll work closely with the team to improve data quality, troubleshoot discrepancies, and optimise processes in a fast-moving financial services environment.
This role involves designing, developing, and supporting scalable data solutions using Azure Databricks, SQL, PySpark, and Python. You will build and maintain ETL/ELT pipelines, support data quality processes, and integrate Azure services. The position requires strong hands-on experience with Azure Databricks and data engineering, with a focus on large-scale data pipelines and platform performance.
This role involves owning the data platform for a UK government programme, focusing on robust data engineering and building RAG pipelines. You will design and maintain data pipelines, model data for analytics, and implement retrieval systems for unstructured content, ensuring security and governance in an SC-cleared environment.
This role involves designing, developing, and maintaining data pipelines using Python, SQL, PostgreSQL, and Snowflake. You will ensure data consistency, accuracy, and reliability across multiple sources, implement data models, and optimize performance. The focus is on financial data, with a strong emphasis on data quality and architectural thinking.
This role involves designing, developing, and maintaining business-critical applications, data solutions, and reporting capabilities using Microsoft technologies. You'll work closely with technical teams and business stakeholders to translate requirements into effective solutions, streamline processes, and deliver meaningful insights through data and reporting.
This role involves developing and maintaining data pipelines, building a data warehouse or lakehouse architecture, and ensuring data accuracy and governance. You will collaborate with engineers and business stakeholders to make data accessible and useful, and prepare the platform for future analytics and AI applications.
This role involves refreshing and redocumenting enterprise data warehouse models, creating diagrams, and ensuring version control. You'll work closely with data category management to catalogue data, document flows, and map data movement across applications using tools like Sparx Enterprise Architect or Orbus iServer. The focus is on conceptual and logical data modelling rather than hands-on engineering.
As the Data Engineering Lead, you will own the data platform, design and optimize data pipelines, improve data quality, and define data architecture and governance. You'll work closely with senior leadership to shape the data strategy and build a modern data capability, with the freedom to influence technology decisions and mentor team members.
