123 jobs for “Data Engineer”
Palantir Technologies Washington, United States US$135,000 – US$200,000 pa
Builds elegant, robust APIs powered by Kubernetes controllers, bridging raw clusters and an infrastructure-agnostic runtime for hundreds of microservices. Works with forward deployed and customer engineers on a PaaS for US Government customers in sensitive, air-gapped and edge environments, shaping strategy for an early-stage product.
Palantir Technologies New York, United States US$135,000 – US$200,000 pa
Builds elegant, robust APIs powered by Kubernetes controllers, bridging raw clusters and an infrastructure-agnostic runtime serving hundreds of microservices. Works with forward deployed and customer engineers on a secure, compliant PaaS for US Government customers, shaping strategy for an early-stage product.
Harnham - Data and Analytics Recruitment Windsor £50,000 – £60,000 pa
Builds a modern analytics capability from the ground up, designing scalable data models in a cloud platform and improving data quality, standardisation and reconciliation across fragmented source systems. Develops forecasting, machine learning and predictive models, supports AI document processing, and creates Power BI dashboards for senior leadership, working with Snowflake in a small collaborative team.
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.
LENACRE GROUP LTD London £55,000 – £62,000 pa
Translate business requirements into working prototypes and production-ready tools using AI-assisted development and low-code platforms. Build automations across Microsoft 365, Power Platform, SharePoint, Power BI and Azure, reviewing AI-generated code for security and maintainability while working with stakeholders, infrastructure and governance teams.
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.
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.
East Anglian Air Ambulance Norwich £31,126 pa
Joins the Information Systems team of a regional air ambulance charity, building reports, dashboards and visualisations in Power BI and developing low-code automations with Microsoft Power Platform and Copilot. Supports fundraising and operational teams with segmentation and performance analysis while improving data quality and governance. Hybrid role with at least three days a week in the Norwich or Cambridge office.
PeopleScout RPO Bristol
Joins a marketing agency's data team to turn complex marketing and recruitment data into insights for the Armed Forces Recruitment Service. Day to day involves gathering, cleansing and analysing data from platforms like Google Ads, Meta, GA4 and Adobe Analytics, building reports and dashboards in Power BI, Tableau or Domo, and using SQL to support campaign measurement, attribution and forecasting.
