Latest UK roles, updated daily.
This role involves designing, building, and maintaining scalable data pipelines using Azure Data Factory and Snowflake. The Data Engineer will work on ETL/ELT processes, data modelling, and cloud data platform development, ensuring data quality and performance. Collaboration with business stakeholders and technical teams is key.
This role involves engaging with technical founders and engineering leaders at high-growth UK startups to position Databricks as a strategic data and AI platform. The focus is on executive-level technical advisory, building relationships within the startup and VC ecosystem, and driving new business through high-velocity sales motions. The role emphasizes thought leadership in Generative AI, real-time data architectures, and modern data stack innovation.
Lead and coach a team of enterprise account executives focused on the Energy & Utilities and Telco sectors, driving sales growth and strategic account development within Databricks' UKI region. Develop territory plans, sales forecasts, and cross-functional GTM strategies while fostering technical and value-based selling capabilities. Build deep customer relationships and expand Databricks' footprint through consumption-driven revenue models in a high-growth AI and data platform environment.
The Data Test Analyst will support a major data migration programme at HMRC, focusing on validating data integrity and functionality during the transition from SAS 9.4 to SAS Viya 4 on AWS. Key responsibilities include developing test plans, performing data validation, and automating testing processes.
The Data Architect role involves designing and executing enterprise data architecture strategies to connect product design with shop-floor operations. Responsibilities include defining data models, integration pipelines, and governance frameworks for PLM and MES platforms, working closely with cross-functional teams to deliver a unified digital thread.
This role involves building and improving Microsoft Fabric pipelines and notebooks, creating reusable data models, and optimizing data for Power BI. You will work closely with BI, analytics, and software development teams to enhance data quality and establish best practices.
This role involves designing and delivering innovative data and AI solutions, developing scalable and secure data architectures, and collaborating with teams to ensure robust data solutions. The Data Architect will lead and mentor junior team members, evaluate and recommend platforms, and stay updated on industry trends.
This role involves managing and optimizing Greenplum, Postgres, and Snowflake databases. Responsibilities include data migrations, performance tuning, security, and automation of database tasks. The role requires extensive knowledge of database administration and cloud computing.
The Data Scientist role involves analysing large datasets, developing predictive models, and collaborating with stakeholders to drive business strategies. You will work in a hybrid environment, supporting the development of data pipelines and staying updated on industry trends.
This role involves designing, developing, and maintaining scalable data pipelines using Python, Databricks, and PySpark. The Senior Data Engineer will work on complex data challenges, optimize data processing, and support enterprise data platforms in a modern cloud environment.
This role involves designing and documenting enterprise data architectures for large financial systems, working with both relational and NoSQL databases. Responsibilities include collaborating with stakeholders, creating data models, and supporting data strategy initiatives.
This role involves designing, building, and delivering backend services and APIs for a new AI layer in an investment management firm's technology platform. You will work closely with a frontend engineer to integrate AI capabilities, ensure secure data handling, and continuously improve the product based on user feedback.
This role involves hands-on implementation and configuration of Monte Carlo within a global asset manager's Aladdin and Snowflake environment. The consultant will provide SME expertise, troubleshoot issues, and support data observability and quality initiatives.
This role involves leading the Data Engineering function, defining processes and tooling, managing a team of data engineers, and personally delivering on complex pipeline work. You will collaborate across Product, Data Science, Client Success, and Platform R&D, and lead the adoption of AI within the engineering workflow.
The Forward Deployed Engineer role involves collaborating with investment professionals to identify and solve complex business and research challenges. You will design and build production-ready applications, workflows, and AI-powered tools, transforming ideas into scalable systems used by front-office teams. The role requires strong software engineering skills, experience with cloud platforms, and the ability to work closely with business stakeholders.
