Data Engineer - AI & Machine Learning Focus

Lorien; City Of London; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading recruitment agency in London is seeking a Data Engineer to work on impactful projects at the intersection of data engineering and life sciences. You will design and build data pipelines using modern cloud technologies, including Google Cloud. The ideal candidate has experience with Python, SQL, and cloud platforms, and a passion for shaping the future of healthcare through data solutions.

Qualifications

• Experience with cloud platforms, especially Google Cloud.
• Proficiency in Python and SQL.
• Familiarity with unit testing and agile practices.

Responsibilities

• Design and build data pipelines using Python and Spark.
• Ensure pipelines meet the needs of scientific applications.
• Monitor and improve key metrics across tools and services.

Skills

Python

SQL

Cloud platforms

Unit testing (pytest)

Git/GitHub

Bioinformatics

NLP techniques

Containerization (Docker)

Orchestration tools (Airflow)

Tools

Google Cloud

BigQuery

Google Cloud Storage

Nextflow pipelines

Job description

Job Type

Contract/Temporary

Location

London

Job Ref

BBBH168021_1759157311

Date Added

September 29th, 2025

Consultant

Louis Poynter

Are you passionate about building data solutions that drive cutting-edge AI and Machine Learning applications? We're looking for a talented Data Engineer to join a forward-thinking team developing transformative therapies for both existing and emerging diseases.

This is your opportunity to work on impactful projects at the intersection of data engineering and life sciences, using modern cloud technologies to deliver scalable, reliable data pipelines that support scientific innovation.

What You'll Be Doing:

• Designing and building data pipelines using tools like Python, Spark, SQL, BigQuery, and Google Cloud Storage
• Ensuring pipelines meet the specific needs of data-driven scientific applications
• Writing high-quality, well-documented code with automated testing
• Monitoring and improving key metrics across tools and services
• Collaborating with cross-functional teams to build end-to-end data solutions
• Participating in code reviews and contributing to team-wide engineering standards

What We're Looking For:

• Python and SQL skills
• Experience with cloud platforms (Google Cloud preferred)
• Familiarity with unit testing (e.g. pytest) and agile development practices
• Proficiency with modern software development tools (e.g. Git/GitHub, DevOps)
• Experience with biological or scientific datasets (e.g. genomics, proteomics)
• Bioinformatics expertise and familiarity with large-scale datasets
• Knowledge of NLP techniques and unstructured data processing
• Experience with orchestration tools (e.g. Airflow, Google Workflows)
• Exposure to AI/ML-powered applications
• Familiarity with containerization (e.g. Docker) and Nextflow pipelines

If you're excited by the idea of using data engineering to help shape the future of healthcare and AI, we'd love to hear from you.

Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.