Design and govern enterprise-scale data architectures across hybrid and cloud environments, including data lakes, warehouses, and modern data pipelines. Provide technical leadership on data management frameworks, cloud migration, and AI-enabled analytics solutions within an Agile transformation programme. Collaborate with stakeholders and delivery teams to ensure robust, scalable data platforms aligned with governance and business needs.
Design and lead enterprise data architecture strategy, including data governance, metadata frameworks, and target-state models across a complex organisation. Collaborate with stakeholders to align data capabilities with business and digital transformation goals, using Azure platforms and modern data practices. Drive standardisation, semantic modelling, and architecture governance in a regulated environment.
This role involves designing and developing a centralised CMDB solution, integrating data sources, automating processes, and creating meaningful dashboards and reports. You will work on application development, data management, and ensuring data accuracy and integrity.
This role involves building and maintaining secure data pipelines for a UK public sector programme, with a focus on data ingestion, transformation, and curation. The engineer will work within Agile teams to develop robust data integration solutions on modern cloud platforms, supporting digital transformation and AI initiatives. The position requires collaboration with product teams and adherence to engineering best practices in a regulated environment.
This role involves building and maintaining scalable data pipelines for AI/ML-driven user experience projects, using Google Cloud Platform and tools like Airflow and Cloud Composer. The analyst will ensure data quality and system reliability through monitoring with Monte Carlo, Looker, Splunk, and NewRelic, while collaborating closely with product engineering and data science teams. Responsibilities include data ingestion, pipeline orchestration, and technical documentation to support cross-functional data initiatives.
This role involves architecting and designing enterprise data structures, building scalable database solutions across RDBMS and NoSQL platforms, and defining data standards and governance principles. The Data Architect will collaborate with business stakeholders and engineering leads to align data strategy with business goals, driving modernization efforts in a hybrid on-prem and cloud environment.
This role involves leading the final stages of a migration from a legacy data warehouse to Microsoft Fabric, with responsibilities including testing data outputs, debugging discrepancies, and implementing fixes. Post go-live, the engineer will build data pipelines and support ongoing development and reporting needs. The role requires hands-on technical delivery within a modernising data environment.
Lead a team of data engineers while remaining hands-on with modernising a cloud-based data platform centred on Databricks and Spark. Design and maintain scalable data pipelines and lakehouse architectures, collaborating closely with data science, BI, and technology teams. Drive engineering best practices and support Agile delivery within a large-scale data transformation programme.
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.
This role involves designing and maintaining CI/CD pipelines, automating Azure cloud infrastructure, and supporting a government client's data platform using DevOps practices. The engineer will implement Infrastructure as Code, troubleshoot operational issues, and mentor Agile delivery teams. Key focus areas include Azure Data Factory, Synapse Analytics, and monitoring with Prometheus and Grafana.
This role involves leading a Digital Analytics team to deliver insights, measurement frameworks, and actionable analysis that drive better decision-making. Responsibilities include owning the digital measurement strategy, implementing analytics tools, and coaching the team. The role requires strong experience with SQL, Python, and modern analytics platforms like Amplitude Analytics and Qualtrics.
Our client, an innovative and rapidly growing business within the Exchange Traded Funds (ETF) sector, is seeking an experienced Lead Python Developer to play a key role in shaping the future of their technology and data platforms.This is a rare...
Contract Opportunity: Senior Data Engineer / DataOps EngineerLocation: Central London, UKContract Duration: 6 MonthsRole Type: ContractAbout the RoleAre you an experienced Data Engineer with a passion for DataOps, automation, and platform engineering? We are looking for a Senior Data Engineer...
Design and implement automated data pipelines within a modern data stack, from extraction and transformation to data modelling and reporting. Collaborate with engineering teams to define requirements and improve data workflows. Support business stakeholders with data visualisations and analytics using Power BI or similar tools.
Design and build scalable data solutions to migrate a legacy SQL-based data warehouse to a modern cloud-native AWS platform. Develop and optimise ETL/ELT pipelines using Python and SQL, and help establish a strategic source of truth for analytics. Work in a hybrid setup with one day per week onsite north of Leeds.
