This role involves leading the technical architecture for an Azure platform, designing and building large-scale data pipelines, and integrating end-to-end data solutions. The focus is on cloud migration, data ingestion, and ensuring data quality and consistency.
This role involves designing and building scalable Snowflake data solutions for risk, finance, and regulatory reporting. You will optimize ELT/ETL pipelines, develop Python-based processing, and support the migration of legacy platforms to the cloud. You will also provide technical leadership and engage with business stakeholders on high-profile regulatory and risk reporting programmes.
Design and build scalable data pipelines using Palantir Foundry and Gotham to integrate complex, multi-source data for government programmes. Develop ETL workflows, automate data transformations, and deliver actionable insights in mission-critical environments. Work within Agile, cross-functional teams to translate client needs into robust, production-grade data solutions.
This role involves developing and supporting enterprise data pipelines and OpenShift-based solutions, collaborating with cross-functional teams to deliver cloud-native applications, and enhancing platform performance. The developer will work on scalable, secure, and efficient data processing and operational transformation initiatives using Scala, Apache Spark, and OpenShift.
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 designing, developing, and maintaining business-critical applications, data solutions, and reporting capabilities using Microsoft technologies. You will work closely with technical teams and business stakeholders to turn requirements into effective solutions, streamline processes, and deliver meaningful insights through data and reporting.
This role involves leading a team of data professionals while delivering hands-on development across SQL Server, ETL pipelines, and modern data platforms using Microsoft technologies. You'll shape the central data platform, drive projects from concept to delivery, and support team growth within a large organisation. The role blends technical leadership with innovation in data warehousing, Azure Data Factory, and Microsoft Fabric in a hybrid setup.
This role involves developing and maintaining data integration, transformation, and reporting solutions using Microsoft Fabric, Azure, and Power BI. You'll work across the data lifecycle—from ETL and API development to data warehousing and visualisation—while collaborating with technical and business teams to drive data-driven improvements. The position supports a major Microsoft Fabric transformation programme with a focus on scalability, automation, and impactful business outcomes.
You will design, develop, and support data integration, warehousing, and reporting solutions for a secure government programme. The role involves working with Oracle databases, ETL processes, and data quality, within a complex enterprise environment.
The role involves designing and developing scalable data models, semantic layers, and reporting solutions using Databricks, Azure Data Factory, SQL, and Power BI. You will work closely with Finance, Data Governance, IT, and business stakeholders to transform complex data into trusted assets, support data architecture, and mentor a Data Apprentice.
This role involves leading the migration of legacy Microsoft Access databases to a modern database system. Responsibilities include auditing existing schemas, designing a new database architecture, writing ETL scripts in Node.js, and developing APIs to serve the data to applications.
Design and build Power BI reports and dashboards while developing and optimising underlying data models, pipelines, and SQL-based datasets. Work closely with business stakeholders in Operations, Finance, and HR to translate requirements into scalable, insight-driven reporting solutions. Focus on data quality, governance, and clear communication of insights across a complex, multi-service environment.
This role involves designing and building scalable data solutions using Microsoft Fabric, developing data ingestion pipelines, and supporting the migration of an existing reporting estate. You will also create Power BI reports, optimize SQL and ETL processes, and provide training and best-practice guidance to analysts and report developers.
This role involves designing, building, and maintaining scalable data pipelines using Databricks, Python, and SQL. You will support cloud migration initiatives, integrate data from enterprise systems, and ensure high data quality and security in a highly regulated banking environment.
Lead a team of data professionals in designing and building modern data platforms using Microsoft Fabric and Azure technologies. Drive technical architecture, data governance, and end-to-end delivery of critical data pipelines while mentoring engineers and shaping strategic data initiatives. Work in a hybrid setup with strong emphasis on innovation, collaboration, and professional growth.
