Data Engineer
Summary
Builds and optimizes ETL/ELT pipelines, integrates large datasets, and uses LLMs for data extraction/validation in a healthcare/pharma-focused tech company.
We're partnering with a rapidly growing, venture-backed technology company that is transforming how pharmaceutical organisations use complex data to drive strategic decision-making.
We're looking for a Data Engineer to join a high-performing team building scalable data platforms and delivering innovative solutions for enterprise clients.
Central London (minimum 3 days per week in the office)
Start date: This is an urgent hire, therefore applicants with notice periods longer than one month will not be suitable.
What you'll be doing
- Building and optimising ETL/ELT pipelines
- Integrating large structured and unstructured datasets
- Developing data acquisition and web-scraping processes
- Using LLMs for data extraction, validation and enrichment
- Working across cloud-based environments including Azure and Databricks
- Collaborating closely with product, commercial and engineering teams
Strong Data Engineering experience
Advanced Python and SQL skills
Experience building production-grade data pipelines
Experience with APIs, data integration and large datasets
Experience using LLMs within data workflows
Healthcare, pharmaceutical or life sciences data experience
Strong problem-solving skills and a proactive, ownership mindset
This is an excellent opportunity for someone who enjoys solving complex data challenges, wants significant ownership, and is excited by the opportunity to help build a growing technology business.
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