Data Engineer (AI) – London

Overview

In this role you will be part of an AI-enabled data team that builds scalable data pipelines and metadata for unstructured content. You will work across data lakes and cloud platforms to support NLP and LLM-driven ETL, while ensuring compliance with AI-related privacy and security requirements. You will translate user needs into data sources and downstream integrations, contributing to data-driven insights in clinical development. This is a hands-on opportunity to shape data flows, tooling, and visualizations in a growth-focused environment.

Pay / Benefits

• Flexible work environment
• Competitive compensation and benefits package
• Competitive PTO packages
• Structured career paths with opportunities for professional growth
• Company-sponsored employee appreciation events
• Employee health and wellness initiatives

Responsibilities

• Handle unstructured data (documents, images, web content) and load into data lakes using Snowflake, Azure, SQL, and Python
• Support ETL involving Large Language Models (LLMs) to process large data corpora
• Extract structured metadata from unstructured data via NLP tools and REST APIs
• Ensure data flow compliance with US and EU AI Acts, focusing on security, confidentiality, and privacy of PHI
• Collaborate with AI engineers to align data sources with downstream systems
• Develop software applications to collect, transform, and visualize data flows with full SDLC (requirements, design, development, testing, release, maintenance)
• Assist in software validation through test plan/cases/scripts
• Communicate project updates and tools with team members
• Provide end-user support including setup, installation, and maintenance of applications

Key requirements

• Bachelor’s Degree in Computer Science, Data Science, or a related field
• 1-3+ years of Data Engineering experience
• Experience with AI tools for data extraction and NLP of unstructured content
• Ability to model dimensional data from unstructured content; familiarity with Star Schema and Snowflake schema
• Strong ETL development and reporting knowledge
• Knowledge of Snowflake cloud data warehouse and Azure cloud (preferred)
• Knowledge of REST API
• Proficiency in SQL Server and Python
• C# knowledge and Azure data fabric experience are a bonus
• Excellent analytical, written and oral communication skills

• Excellent communication
• Analytical thinking
• Team collaboration
• Snowflake
• Azure
• SQL

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