Data Engineer - AI & Machine Learning Focus
New Today
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.
- Location:
- City Of London
- Job Type:
- FullTime
- Category:
- Engineering