About this role
Salary: £50,000 - 70,000 per year
Requirements: Hands-on experience developing data or analytic applications in Python using Streamlit, Dash, or a similar frameworkExperience designing, testing, and maintaining user-facing applications, including the use of version controlStrong SQL skills and experience analysing and integrating data sets from multiple sourcesExperience with Databricks or a similar modern data platformWorking experience with notebooks and Python data libraries and processing frameworks, such as Pandas and PySparkUnderstanding of deployment, CI/CD, orchestration, and application support practices Responsibilities: Design and build lightweight analytics applications on our data platformBring data together from multiple sources to enable business teams to explore, understand, and act on trusted insightsWork closely with Data Engineers, Analysts, and business stakeholders to translate user needs into intuitive applicationsDevelop reusable data products that improve how data is accessed, understood, and used across the organisation Technologies: CI/CDDatabricksSupportPythonPySparkSQLpandas More:
We are looking for an Analytics Application Engineer to join our team on a 12-month contracting basis. This is a hybrid role based in Cambridge, with access to work from home and time in our state-of-the-art office. The role is offered on a daily pay rate through umbrella, with a competitive pay rate. The position is Monday to Friday, 37.5 hours per week.
last updated 34 week of 2026