141 jobs for “Data Engineer”
Harnham - Data and Analytics Recruitment London £180,000 pa
Lead enterprise data, technology, architecture and AI strategy across a data-led organisation, unifying Data & Analytics, Engineering, IT, Salesforce and Architecture into a single vision. Inherit a large multidisciplinary team, own governance and architecture standards, and drive AI adoption to unlock commercial value from existing platform investments.
Capital One Derby
Lead the development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers from raw multi-modal data. The role combines technical direction, stakeholder collaboration and mentoring, taking prototypes through to production in a hybrid Nottingham-based team.
Capital One Leicester
Lead the development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers on structured and unstructured data. The role combines technical direction, stakeholder collaboration and mentoring, taking ideas from prototype through to production in a hybrid Nottingham-based team.
Harnham - Data and Analytics Recruitment London £100,000 – £150,000 pa
Lead a data research function, defining strategy for sourcing and evaluating new datasets and assessing their quality, reliability and commercial value. Oversee statistical analysis, modelling and time series research, run end-to-end projects, and mentor a small team while driving adoption of AI and advanced analytics.
Faculty Remote (UK)
Lead technical direction on complex, business-critical AI projects for defence clients, architecting production-grade machine learning solutions and overseeing end-to-end delivery. Combines hands-on ML depth with strategic oversight, mentoring data scientists and managing demanding client relationships. Requires UK Security Clearance and 2-4 days per week on client sites.
Palantir Technologies New York, United States US$110,000 – US$170,000 pa
Deployment Strategists embed with customer teams to turn data into operational action, exploring datasets and partnering with Forward Deployed Engineers to build pipelines and customised workflows. The role involves onsite work, training users, and presenting to audiences from analysts to C-suite, with travel of 25-75% and some deployment to internal Palantir teams.
Palantir Technologies Chicago, United States
Deployment Strategists embed with customer teams to turn data into operational action, exploring workflows, identifying key problems and integrating datasets into stable pipelines alongside Forward Deployed Engineers. The role involves building customised workflows, leading training, presenting to analysts through C-suite, and scoping new engagements, with 25-75% travel and a Chicago base.
Synthesia London
A principal-level individual contributor role driving deep, self-directed investigations into user behaviour across acquisition, activation, usage and the wider customer journey. The work spans causal and statistical analysis, churn and other models, unstructured and AI-specific data, and opportunity sizing, with findings feeding experiments, roadmap and strategy. Distinct for its proactive, no-brief mandate and close partnership with Product, Engineering, Growth and commercial teams.
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.
