About this role
Salary: £? - ? per year
Requirements: 6+ years experience in software, data engineering or enterprise developmentStrong commercial experience with Python; Java or C# also consideredSolid understanding of relational databases and experience with technologies such as Oracle, Snowflake or similarStrong understanding of data pipelines, ETL, and working with large datasetsHands-on experience with AWS or other cloud environmentsGood understanding of object-oriented programming and core data structuresExperience with tools such as Pandas and NumPy would be beneficialComfortable working with REST APIs, scripting, and Linux/Windows environmentsExperience with CI/CD, cloud migration, or scalable data processing would be advantageousPractical, problem-solving mindset with the ability to take ownership and deliver in a fast-moving environment Responsibilities: Design and develop reliable data pipelines for large and complex datasetsBuild solutions to extract, transform, and process data from a range of internal and external sourcesDevelop scalable applications and data processing solutions using PythonWork with cloud-based technologies, particularly AWS, to support data and analytics workloadsHelp take ideas from initial concepts and prototypes through to productionWork closely with developers, data specialists, and business stakeholders to deliver technical solutionsIdentify opportunities to improve existing systems, processes, and data workflowsSupport production environments and participate in an on-call rotation where required Technologies: AIAWSC#CI/CDCloudETLSupportJavaLinuxOraclePythonRESTSnowflakeWindowsnumpypandas More:
We are a fast-paced technology team working across data, analytics, and emerging AI solutions. This is a 12-month day rate contract offering the opportunity to work on scalable data solutions while gaining exposure to modern cloud and AI technologies.
last updated 34 week of 2026