Design and build data pipelines, APIs, and machine learning systems using Python and AWS. Work with large, complex datasets to deliver actionable insights through scalable cloud-based solutions. Collaborate in an Agile environment with strong engineering practices and modern data technologies.
The role involves leading enterprise data architecture assessments, mapping systems and data flows, identifying data risks, and defining scalable data models and integration patterns. The architect will evaluate data quality controls, platform capabilities, and readiness for AI use cases while promoting canonical data definitions and improving decision-making through data. Collaboration with cross-functional teams is essential to align technical architecture with business needs.
The BI Analyst will design and maintain data warehouse solutions, build and optimize data pipelines, and develop interactive dashboards using tools like Qlik or Power BI. They will work closely with cross-functional stakeholders across Europe to translate business needs into reporting solutions, improve data quality, and automate manual processes to enable data-driven decision-making.
This role involves developing and maintaining data pipelines to migrate data from legacy systems into a modern Azure Lakehouse environment. The engineer will design transformation processes using Databricks following Medallion Architecture, build scalable ETL/ELT solutions, and create optimised data models for Power BI and analytics. Emphasis is placed on data quality, automation, and engineering best practices such as CI/CD and Infrastructure as Code.
Oracle Data Warehouse Developer (SC Cleared)Andover (Hybrid)6 Month Contract£500/day (Outside IR35)Oracle Data Warehouse Developer needed with active SC Security Clearance. 6 Month Contract based in Andover (Hybrid). Start ASAP in April/May 2026.Hybrid Working - 3 days/week remote (WFH), and 2...
This role focuses on driving adoption and revenue for Databricks Lakebase, a fully managed Postgres service designed for AI-native and intelligent applications. The specialist will collaborate with account teams to engage technical and business stakeholders, lead complex sales cycles, and validate use cases such as real-time workloads and reverse ETL through proofs of value. Success involves enabling field teams, shaping go-to-market strategy, and positioning Lakebase against competitive databases in enterprise environments.
This role involves driving adoption and revenue for Databricks Lakebase, a fully managed Postgres service, by partnering with account teams to engage technical and business stakeholders. The specialist will lead sales cycles, run proof-of-concept projects, and position Lakebase as a modern solution for operational workloads and AI-native applications. Success requires strategic account engagement, technical value selling, and cross-functional collaboration to simplify data architectures and improve governance for customers in the UK and Ireland.
Analyse financial data and support indirect tax compliance by delivering data solutions and automating workflows. Collaborate with tax and technology teams to resolve data quality issues and improve reporting processes. Work across SQL, ETL, and large datasets, with opportunities to apply GenAI and AWS tools for innovation.
The role involves extracting and transforming data from multiple business systems, developing automated reporting solutions, and building Power BI dashboards to improve data visibility. The Data Scientist will support a major ERP transition to SAP, working closely with operational teams across packaging, supply chain, and transportation to enable data-driven decisions using SQL, Python, and Power Query.
Senior Data Engineer – Monetary Analysis & Economic Data* Location: London, UK (Hybrid: 3 days in office, 2 days remote)* Security Clearance: SC Clearance Required (Active or eligible to undergo)* Salary: £75,000 to £80,000 + Benefits and Bonus* Position Type:...
Develop and maintain complex SQL queries and Power BI reports to deliver actionable insights for Children's Social Care operations. Work closely with stakeholders to translate business requirements into robust reporting solutions, ensuring data accuracy and governance. Engage in light ETL, performance optimisation, and mentorship of reporting best practices.
Design and build Power BI reports and dashboards while developing and maintaining the underlying data pipelines using SQL and modern data platforms. Work closely with stakeholders across operations, finance, and HR to translate business needs into technical reporting solutions. Focus on improving data quality, governance, and scalability within a growing data environment.
This role involves designing and developing data models, ETL processes, and Power BI reporting solutions within a modern Azure-based data platform. The analyst will support migration to Azure Data Lake, implement Medallion Architecture principles, and contribute to data governance and quality initiatives. It's a hybrid position requiring collaboration across data engineering and analytics functions.
This role involves designing and developing enterprise-level Power BI dashboards, building scalable data models, and creating self-service reporting solutions. The analyst will develop Azure-based data pipelines, optimise SQL queries, and drive data governance while translating business needs into actionable insights. The position also includes training users, supporting data strategy, and evaluating emerging technologies like Microsoft Fabric and AI.
This role involves designing and implementing enterprise-scale Databricks Lakehouse platforms, translating business requirements into robust data architectures, and leading end-to-end delivery for clients. You'll optimise performance and cost of Databricks workloads, implement security and governance using Unity Catalog or Purview, and build automated CI/CD pipelines. The position emphasizes technical leadership, client engagement, and shaping modern data strategies across structured and unstructured data environments.
