Data Engineer

i-Pharm Consulting; Greater London; On-site; GBP 75,000 - 110,000; Full time

Job summary

i-Pharm Consulting in London is seeking a Data Engineer to join a rapid-growth health-tech data platform team. You will build scalable ETL/ELT pipelines, ingest large datasets, and collaborate with product, commercial and engineering teams.

The role emphasizes ownership, deploying in Azure and Databricks environments, and applying LLMs for data extraction, validation and enrichment to support enterprise clients.

Qualifications

• 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 ownership mindset.

Responsibilities

• 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.

Skills

Python

SQL

Data pipelines

APIs

LLMs

Databricks

Azure

Healthcare data

Tools

Databricks

Azure

Job description

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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