143 jobs for “Data Engineer”
Palantir Technologies New York, United States US$135,000 – US$200,000 pa
Works directly with customers to own Gen AI strategy and implementation, building end-to-end LLM workflows and taking them to production at large scale. Operates in small teams like a hands-on AI startup CTO, feeding field learnings back into the Palantir AIP product suite. Requires strong engineering and ML foundations plus up to 25% travel to client sites.
Palantir Technologies New York, United States
Builds the front-end tooling and interfaces that let users construct data-intensive applications on Palantir Foundry, working in TypeScript, React and GQL with Blueprint components. Involves architecting state management and access patterns, owning APIs and schemas, and iterating with users and designers on complex UX. May include a Frontline rotation embedded with customers.
Harnham - Data and Analytics Recruitment Merseyside £45,000 – £55,000 pa
Builds and deploys predictive machine learning models across customer and commercial use cases, including segmentation, lifetime value, forecasting, propensity and churn. Works with senior stakeholders, analysts and engineers to operationalise models on cloud platforms such as Azure or GCP, moving beyond experimentation to measurable business value.
Harnham - Data and Analytics Recruitment London £60,000 – £65,000 pa
Lead client-facing analytics engagements, translating business challenges into analytical solutions and presenting insights to technical and non-technical audiences. Build SQL-based solutions and dashboards in Tableau or Looker, harmonising complex data sources while managing project timelines, risks and governance alongside data, engineering and consulting teams.
Faculty Remote (UK)
Lead the design, build and deployment of production-grade machine learning systems for defence clients, covering architecture, scalable infrastructure and MLOps standards. Work cross-functionally with engineers, data scientists and commercial teams, and act as a trusted technical advisor to customers while mentoring junior engineers. Requires eligibility for UK Security Clearance and 2-4 days per week on client sites.
Snowflake London
Owns the end-to-end product lifecycle for enterprise AI services within the Snowflake Cortex team, from discovery and roadmap definition to launch and metrics analysis. Leads a cross-functional pod of engineers, data scientists and solution architects, translating bespoke customer deployments into scalable platform features while working closely with GTM and customer leadership.
Isomorphic Labs London
Conducts core machine learning research applying large language models to drug discovery, developing and refining LLM-driven approaches across biology and chemistry use cases. Builds and scales training and inference frameworks, tunes experiments, and collaborates with interdisciplinary scientists. Senior candidates may lead standalone projects and mentor the ML community.
Isomorphic Labs London
Builds greenfield machine learning models and algorithms for drug discovery, designing new architectures, running experiments and scaling training and inference frameworks. Works in an interdisciplinary team of ML scientists, engineers and domain experts, with scope to lead projects and mentor others depending on experience.
LENACRE GROUP LTD London £55,000 pa
Builds practical applications and automations across Office 365, Power Platform, SharePoint, Power BI and Azure, turning business needs into working software. Uses AI-assisted development tools to generate, refactor and debug code, validating it for security and maintainability, and takes AI initiatives from MVP to production. Works with stakeholders, infrastructure engineers and governance teams, with two days a week in the Canary Wharf office.
Faculty London
Scoping, building and delivering bespoke AI projects for pharmaceutical clients within a close-knit life sciences team. Involves managing work streams, conducting open-source analysis, translating operational requirements into user stories, and designing user-centric workflows alongside technical teams.
McLaughlin & Harvey Coatbridge
Designs and maintains Power BI semantic models, DAX measures and SQL transformations within a data warehouse, building and improving reports and dashboards for a construction business. Works with colleagues to gather requirements, validates data against source systems, and supports in-house web applications, with hybrid and flexible working options.
Hays Technology Belfast £460 – £485 pd
Gather and document business and data requirements, analyse data flows, lineage and sourcing, and write SQL to validate data. Produce BRDs, process maps and functional specs while working with business, data and technology stakeholders on Markets and regulatory transformation. Requires Capital Markets or Financial Services background and strong SQL skills.
Real Berkshire £500 pd
Support a Microsoft Fabric implementation within a data transformation programme, gathering and documenting business and technical requirements while mapping business processes. Work closely with stakeholders in Agile delivery to help ensure a modern data platform is delivered successfully, with exposure to Fabric being highly desirable.
Opus Recruitment Solutions London £260 – £290 pd
Two Data Analysts are sought to support analytical and reporting initiatives in a payments, banking or fintech context. Day to day involves backbook segmentation, customer analytics, propensity and predictive modelling, performance reporting, and building and automating dashboards and MI. The role requires strong SQL and Power BI or Tableau skills, working with large datasets and stakeholders to turn business requirements into analytical solutions.
Michael Page Leeds £40,000 – £48,000 pa
Analyse large datasets to uncover trends and build predictive models and algorithms that support strategic decisions in a financial services setting. Work within a collaborative analytics team, presenting findings to non-technical stakeholders and helping maintain data pipelines and infrastructure. Requires Python, R or SQL plus statistical and machine learning techniques, with GIS tooling also desirable.
