Data Engineer

Doctify

full-time

Posted on: 10/15/2025

Location Type: Hybrid

Location: London • 🇬🇧 United Kingdom

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Mid-LevelSenior

PandasPythonSeleniumSQL

About the role

Processing and formatting data into the Doctify database creating a clean, efficient and actionable store of data.
Finding new methods to automate profile enrichment
Working with third party suppliers to improve our data
Rigorously checking the data we have for inaccuracies and duplicates from the, data that we acquire, ensuring it’s filled correctly, and that it’s accurate, and helpful to patients

Experience with LLMs (e.g., ChatGPT, Google Gemini or similar), including general usage, API implementation, and prompt construction
Strong Excel proficiency, including formulas such as VLOOKUPs and handling large datasets
Skilled in coding using Python, with experience in data analysis (Pandas), API integration, and preferably web scraping (Beautiful Soup 4, Selenium, Playwright, Requests)
Nice to have, but not essential experience would be - SQL experience, including writing and optimising queries and/or experience with Salesforce, HubSpot, or similar CRM platforms**

Benefits

28 days annual leave (25 + 3 between Christmas and New Year), earning up to 30 days leave with tenure
2 weeks of remote work annually (within 3-hour time zone of HQ)
Hybrid working model
Enhanced Parental Leave
2 weeks Peternity Leave to welcome your newest furry family member
Medicash health cash plan

Tip: use these terms in your resume and cover letter to boost ATS matches.

Pythondata analysisPandasAPI integrationweb scrapingBeautiful Soup 4SeleniumPlaywrightRequestsExcel