Design and build data pipelines, APIs, and backend services using Python and AWS, with a focus on integrating machine learning models into production. Work with complex datasets and cloud infrastructure to deliver data-driven insights. Collaborate in an Agile environment using CI/CD, Git, and modern software engineering practices.
This role involves designing and guiding the implementation of AI solutions across both internal and client-facing projects, with a focus on agentic AI systems, RAG architectures, and Microsoft technologies like Copilot Studio and Azure. The architect will translate business problems into technical designs, establish reusable patterns, and provide mentorship to engineering teams. It combines deep technical architecture with pre-sales engagement, offering influence over the strategic direction of the organisation's AI capability.
Design and build data pipelines for ingestion, transformation, and modelling across internal and external sources using the Microsoft data stack. Work with stakeholders to translate business requirements into technical solutions, support analytics and Power BI reporting, and contribute to AI and machine learning initiatives. Operate across the full data lifecycle within an Agile, collaborative environment.
Design and build scalable data pipelines using Databricks, PySpark, and Delta Lake while shaping enterprise data architecture and enabling self-service data access across departments. Partner with cross-functional stakeholders to solve business challenges and mentor junior engineers in a growing data team. Work in a high-impact role with ownership over platform strategy and data governance.
This role involves designing and delivering AI solutions across both internal transformation and client-facing advisory projects. You'll architect agentic AI systems using LLMs, RAG, and orchestration frameworks, while guiding engineers and presenting technical concepts to stakeholders. The position blends hands-on technical leadership with pre-sales engagement, focusing on Microsoft technologies like Azure, Copilot Studio, and Power Platform.
This role involves building and optimizing data pipelines to process and manage large volumes of data, enhancing the central data platform, and ensuring reliable information delivery for investment decision-making. You will work closely with stakeholders to shape data access and leverage it to maximize value.
We’re looking for a Senior Data Engineer to join a fast-paced technology team working across data, analytics and emerging AI solutions. This is a 12-month day rate contract, offering the opportunity to work on scalable data solutions while getting exposure...
Design and maintain scalable data pipelines using Databricks, PySpark, and Delta Lake, while shaping enterprise data architecture and enabling self-service data access across departments. Collaborate with cross-functional stakeholders and mentor junior engineers in a high-impact role during the early stages of the company's DataOps evolution. Focus on data quality, governance, and modern platform practices in a cloud-first environment.
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.
Design and optimize next-generation Transaction Monitoring (TM) detection solutions to enhance financial crime prevention across Barclays UK and International. Lead the development of statistical, machine learning, and rule-based models, ensuring alignment with regulatory requirements and strategic transformation goals. Collaborate with cross-functional stakeholders to implement modern surveillance technologies and improve detection accuracy while reducing false positives.
This role involves designing and building robust data pipelines to integrate data from external sources into a central platform, while ensuring data quality, reliability, and system integrity. The Data Engineer will enhance and maintain the data platform, collaborate with stakeholders to improve data accessibility, and adopt advanced analytics technologies. Work is conducted within a high-performance team environment focused on innovation and continuous improvement in data engineering practices.
This role involves assessing and improving an existing Microsoft Fabric data environment, enhancing architecture and governance, implementing data controls, and building internal team capability. The focus is on strengthening data lake structures and ensuring robust management of customer, marketing, and external data sources.
Data, AI & Analytics Consultant, Big 4, GenAI, Regulatory, Governance, Central LondonData & AI Consultant required to work for a fast growing Professional Services business based in Central London. As this is an external client facing consulting role, you will...
This role involves building and maintaining data pipelines to integrate external data sources into Azure, with a focus on data warehousing using Microsoft Fabric. The engineer will transform and structure data for analytics and reporting, working extensively with SQL, Python, APIs, and ETL processes. The position supports a charity's digital transformation, enhancing scalability and efficiency within a Microsoft-centric tech stack.
The role involves building and maintaining data pipelines to integrate external data into Azure and operational systems, with a focus on data warehousing using Microsoft Fabric. You'll work hands-on with SQL, Python, and APIs to automate ETL processes and support the transformation of data for reporting and analytics. The position is part of a major technology shift toward a Microsoft-based stack, including integration with Salesforce.
