Latest UK roles, updated daily.
This role involves leading the design, governance, and delivery of enterprise-scale reporting and analytics solutions using Power BI and the Microsoft data platform. You will define the Power BI strategy, ensure secure and scalable solutions, and provide technical leadership while mentoring developers and analysts.
This role involves designing and developing scalable data solutions within the Palantir Foundry platform, building data pipelines, and creating high-quality data assets for operational and AI use cases. You will work closely with client stakeholders to understand business challenges and deliver practical solutions in a multidisciplinary, agile team environment.
This role focuses on driving adoption of Databricks Lakebase, a fully managed Postgres service, by partnering with account teams to identify and close sales opportunities. The specialist will engage technical and business stakeholders across platform, data, and IT teams to position Lakebase as a modern operational data foundation for AI-native and real-time applications. Key responsibilities include leading proof-of-value initiatives, navigating complex sales cycles, and enabling field teams to scale Lakebase expertise.
This role leads the go-to-market strategy for Databricks' Financial Services business across EMEA, focusing on Banking, Capital Markets, and Insurance. The individual will shape vertical-specific growth plans, drive executive relationships with clients and partners, and act as a thought leader through content and events. Collaboration with sales, marketing, product, and technical teams is central to scaling domain expertise and driving revenue.
The IAM Data Architect role involves designing and developing data models and architecture solutions for a Single Sign-On (SSO) and Identity & Access Management (IAM) programme. Responsibilities include data integration, interoperability, and ensuring data security and compliance across complex systems.
This role involves developing and maintaining high-performance data-driven applications using KDB+/q and Python. Responsibilities include building and optimizing data pipelines, improving query performance, and collaborating with technical teams to deliver scalable solutions.
This role involves designing and developing scalable, automated data pipelines on Azure, working across the full data lifecycle from ingestion to delivery. You'll collaborate with data engineers, architects, and BI teams in an agile environment, ensuring data quality and performance.
This role involves migrating data from MySQL to Google BigQuery, with a focus on scripting and SQL. The project is on-site in Oxford, requiring 5 days per week for 3 months, with potential for extension.
This role involves building and maintaining a modern Azure-based data platform, focusing on developing scalable data pipelines, data transformation, and ensuring data quality. You will work closely with data engineers, architects, and other teams in an agile environment.
This role involves supporting data analytics initiatives, running reporting workflows, and delivering actionable insights to senior management. You will work closely with the core analytics team to gather requirements, build data pipelines, and analyze datasets from key enterprise systems.
The Data Engineer will design, build, and maintain efficient data pipelines to support analytics and decision-making. They will collaborate with analytics teams, troubleshoot data issues, and ensure seamless data integration and accessibility.
This role involves leading the design and development of a modern, enterprise-level data platform using Azure and Databricks. Responsibilities include building robust data pipelines, ensuring data quality and security, and mentoring an Analytics Engineer. The position offers the opportunity to shape the future of data engineering within a large, complex organization.
This role involves leading the development of AI features in a legal tech SaaS platform, focusing on designing and building ML models for document parsing, search, classification, and summarisation. You will integrate LLMs into product workflows, optimise model serving on AWS, and build data pipelines for training and evaluation.
This role involves designing, developing, and optimizing modern data platforms using Azure Databricks. Responsibilities include building scalable data pipelines, managing large datasets, and implementing Lakehouse architectures on Azure Data Lake Storage Gen2. The position offers a hybrid work pattern with 3 days on-site in Nottingham.
This role involves leading the design and development of a modern, enterprise-level data platform, building robust data pipelines, and integrating multiple systems. You will shape the data engineering strategy, influence direction, and mentor team members while working with Azure, Databricks, and other modern data technologies.
