> Markdown version of [/jobs/ext/3877946-analytics-automation-test-engineer](https://www.wearedevelopers.com/jobs/ext/3877946-analytics-automation-test-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Analytics & Automation Test Engineer - **Company:** Deerfoot Recruitment Solutions Limited - **Location:** Didcot, UK (Remote available) - **Experience:** Expert - **Salary:** £182,000.0 - £234,000.0 - **Contract:** Contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Automation of Tests, Business Intelligence Development, Cloud Computing, Data Validation, Relational Databases, Database Queries, Python (Programming Language), Power BI, Selenium, SQL Databases, Data Streaming, Tableau (Software), Scripting, Large Language Models, Puppeteer (Software), Microsoft Fabric, Uipath, Information Technology, Playwright, Virtual Agents, Azure Synapse Analytics, GPT, Api Management - **Published:** October 23, 2026 - **Apply:** https://www.hiredonline.co.uk/jobs/225755908-analytics-automation-test-engineer/deerfoot-recruitment-solutions-limited ## About the Role * Some experience in testing or QA, or a technical background with a real interest in moving into testing * Working SQL and the ability to query relational databases * Some Python (or R) for data validation or test automation * Hands-on use of AI tools such as ChatGPT or LLM-based coding assistants, and the judgement to check what they produce * A structured, detail-focused approach and the confidence to work across several teams at once Desirable: Playwright (especially Playwright MCP), Selenium or Puppeteer, API testing, Azure Synapse, Microsoft Fabric, Power BI, Tableau, UiPath, cloud platforms, a degree in Computer Science or a related subject ## Description * Planning and running functional, regression, integration and user acceptance testing across several delivery teams * Using AI tools, including an in-house LLM-based tool, to generate and execute tests, then checking and validating the output * Testing an internally built AI agent, APIs and end-to-end data flows, including transformations, error handling and exceptions * Validating data warehouse, lakehouse and reporting outputs built on Azure Synapse, Microsoft Fabric, Power BI and Tableau * Testing UiPath RPA processes against documented business rules, covering happy paths, exceptions and performance * Writing SQL queries and lightweight Python scripts to reconcile source-to-target data and support root cause analysis