102 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 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.
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.
Harnham - Data and Analytics Recruitment Windsor £55,000 – £65,000 pa
Hands-on role focused on cleaning, reconciling and modelling data from multiple source systems, including identity resolution and fuzzy matching. You will build dimensional models and Power BI dashboards, support a Snowflake data environment, and contribute to forecasting and predictive analytics for a growing care home provider.
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.
Sagacity London
As part of the Analytics Team, you will deliver data science projects for clients, working with the Data & Analytics Manager and senior colleagues. The role involves collaborating with stakeholders across data strategy, sales, account management, delivery and marketing, applying technical skills and commercial awareness to build data solutions that drive measurable operational results.
The University of Edinburgh Edinburgh £41,064 – £48,822 pa
Contributes to a cardiovascular and renal research programme using routinely-collected NHS data to improve risk prediction in kidney disease. Involves curating and interrogating large linked datasets, designing data-linkage studies, and performing advanced statistical modelling in R. Embedded in a growing team, with mentoring and future leadership responsibilities.
Howett Thorpe Farnborough £50,000 pa
Owns management information reporting for an investment organisation's Finance team, extracting and reconciling data from CRM, finance and Excel sources. Builds Power BI dashboards, datasets and reports, strengthens reporting controls and data governance, and drives automation of manual reporting processes using SQL and analytical tools.
Forward Role Greater Manchester £35,000 – £45,000 pa
Hands-on analytics role in a growing retail business, analysing customer, sales and commercial data to uncover trends and drive decisions. You'll write SQL, build Power BI dashboards and present findings to non-technical stakeholders, with a strong emphasis on interpreting data and telling the story behind it rather than just producing reports.
Tenth Revolution Group Berkshire £45,000 – £50,000 pa
Builds machine learning, forecasting and identity resolution solutions on Snowflake and Azure DevOps, with models powering web apps, mobile apps and Power BI. Works alongside the Head of Analytics in a newly created role, using SQL, Python and Medallion Architectures. Suited to someone still grounding themselves in data and AI who wants to see AI's business impact.
Macmillan Davies Manchester £45,000 – £50,000 pa
Supports and maintains HR systems, handling system changes, testing, upgrades and resolving data or process issues. Produces recurring and ad hoc management information, builds dashboards and reporting processes, and uses advanced Excel to cleanse and reconcile large HR datasets. Works closely with HR, Payroll, IT and external suppliers, with scope to automate processes and contribute to systems projects and migrations.
University of Essex Milton Keynes £41,950 pa
Develops novel computer vision techniques to capture and analyse live-broadcasted eSports events, identifying in-game events and building low-latency AI calculations for in-play and pre-match betting markets. Works with Python, TensorFlow or PyTorch alongside Java and .NET colleagues, using historical game data and video feeds to detect irregular play patterns.
