155 jobs for “Data Engineer”
Palantir Technologies Washington, United States US$110,000 – US$170,000 pa
Deployment Strategists embed with customer teams to turn data into operational action, meeting analysts onsite, identifying datasets, and working with Forward Deployed Engineers to build data pipelines and bespoke workflows. The role involves leading training, presenting to C-suite audiences, and feeding field insights back into cross-company product offerings, with 25-75% travel.
Palantir Technologies London
Works embedded with UK government customer teams, meeting analysts to identify pain points, integrating datasets with Forward Deployed Engineers, and building bespoke workflows. Leads training sessions, presents results to audiences up to C-suite, and builds demos, with 25-75% travel and possible security clearance.
Capital One Leicester
Develops and maintains the statistical and machine learning models behind customer lending and underwriting decisions, using Python and advanced feature generation on large datasets. Involves model risk management, validation, monitoring and technical documentation, plus consulting on statistical test design with business partners. Hybrid role, three days a week in the Nottingham office.
Capital One Derby
Develops and maintains the statistical and machine learning models behind key underwriting and lending decisions, working with large datasets, feature generation and Open Banking or Credit Bureau data. Involves model risk management, validation, monitoring and consulting on statistical test design within a collaborative data science team.
Faculty Remote (UK)
Lead complex machine learning delivery and sector strategy within the Defence team, acting as a trusted technical authority. Own project scoping, technical selling and client management while writing production-grade code and mentoring data scientists. Requires eligibility for UK Security Clearance and 2-4 days per week on client sites.
Harnham - Data and Analytics Recruitment London £70,000 pa
Hands-on role owning the customer analytics agenda across lifecycle, segmentation, retention, loyalty and profitability, leading reporting and deep-dive analysis to turn complex datasets into clear commercial narratives for senior stakeholders. Includes a small leadership element managing 1-2 analysts, with advanced techniques such as clustering, regression and predictive modelling.
Harnham - Data and Analytics Recruitment London £90,000 – £150,000 pa
Lead a centralised Analytics and MI function operating as an internal consultancy, managing managers and analysts while driving the shift from descriptive reporting to insight-led analytics. Embed AI and advanced analytics into workflows, oversee scalable data and reporting infrastructure, and manage migration to a new decisioning platform across finance, marketing and executive stakeholders.
Michael Page Manchester £300 – £500 pd
Lead a team of six BI professionals delivering reporting, analytics and data initiatives across a public sector organisation, combining hands-on technical work with people management and senior stakeholder engagement. The role supports the rollout of Microsoft Fabric and modern data platforms, oversees data governance and quality, and acts as technical escalation point during a major system implementation.
University of Cambridge Cambridge £37,694 – £46,049 pa
Develops mathematical and computational methods for privacy-preserving human pangenome references, including differentially private pangenome graphs, privacy-aware graph algorithms, and benchmarking on genomic data. The interdisciplinary role sits in an applied maths department and involves collaboration on statistical, optimization and differential privacy aspects, with freedom to shape the project's direction.
Adecco London
Leads advanced analytics and data science projects end to end, applying statistical modelling to surface trends and opportunities for a global pharmaceutical client. Translates complex datasets into actionable insights and presents findings to senior stakeholders, while collaborating with reporting teams on dashboards and supporting adoption of AI-enabled analytics.
Osborne Appointments Cambridgeshire £38,000 – £45,000 pa
Leads the design and continuous improvement of Power BI dashboards and reporting across a distribution business, analysing data from AS400, Fabric, Manhattan Active WMS, SAP and financial systems. Partners with Distribution, Supply Chain, Finance, Commercial and IT stakeholders to turn complex data into insights, metrics and automation that support operational and strategic decisions.
Cathcart Technology Edinburgh £500 – £525 pd
Owns solution design across a multi-workstream ERP transformation, translating business requirements into practical, supportable designs and challenging vendor and SI deliverables. Covers integration, data migration, reporting and deployment, working with senior tech leaders and delivery partners within a Design Authority. Lakehouse or Star Schema data warehouse design and agentic AI automation are desirable.
LONDON SCHOOL OF ECONOMICS AND POLITICAL SCIENCE London £68,087 pa
Contribute to research and teaching in data science and statistics within an established department, with expertise sought in statistics, machine learning or data science. The role expects a strong publication trajectory and a viable future research strategy, with collaboration encouraged across the School's institutes.
VGC Yeovil £52,186 – £56,000 pa
Lead the delivery of customer, business and operational insight to support strategic decision-making, managing and developing a team of analysts. The role involves advanced SQL analysis, segmentation, predictive modelling and Power BI reporting, translating complex data into recommendations for senior stakeholders.
Vermillion Analytics Oxford £50,000 – £55,000 pa
Six-month contract owning marketing analytics projects for a global academic publisher, designing and optimising Power BI dashboards, running A/B tests and turning campaign, channel and customer data into recommendations for senior stakeholders. Also involves building in-house training so marketers can self-serve analysis, plus data sourcing and quality checks with Technology and analytics teams.
