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 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.
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 designing and maintaining enterprise data architectures, leading data migration and ETL initiatives, and ensuring data governance and security. The Tech Lead will collaborate with business and technical stakeholders to deliver robust data solutions, particularly in the Pharma/Life Sciences domain.
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.
This role involves designing, building, and maintaining secure, scalable data solutions for a high-profile defence programme. You'll work with modern data technologies, collaborate with multidisciplinary teams, and enjoy a condensed 3-day work week while being paid for 5 days.
This role involves designing, building, and scaling enterprise-grade AI platforms, transforming AI research into production systems. You'll work on complex AI services, data pipelines, and cloud-native architectures, collaborating with Data Scientists and Software Engineers to productionize ML and NLP models.
