Data Platform Engineer, London

Overview

In this role you contribute to a world-class ML-based software platform that accelerates drug discovery. You will work in a fast-paced, research-facing setting alongside engineers, scientists and ML researchers to build data services and a scalable platform for high-velocity experimentation. You help design and implement production-grade systems that ingest, transform, and serve scientific data. You’ll operate across domains to shape a platform that enables transformative research and meaningful health outcomes. This opportunity offers impact at the intersection of AI, biology and engineering in a collaborative culture.

Responsibilities

• Software engineering of data services for data storage and integration layers
• Ingestion, transformation and serving of scientific data for scientific applications
• Building a state-of-the-art platform for conducting research with high velocity and reliability
• Collaboration with scientist and ML researchers on project work

Key requirements

• Experience in data engineering and service-oriented architectures
• Extensive software engineering experience with software design and architecture skills
• Extensive enterprise programming experience writing production code using Python
• Experience building, deploying, and maintaining secure and scalable production systems on GCP
• Experience with Kubernetes and cloud computing
• Demonstrated ability to work in multi-disciplinary teams and environments
• Great degree of adaptability and a willingness to work across domains and different parts of the tech stack when needed
• Demonstrate ongoing career progression / trajectory and a passion for learning
• Msc in computer science, or equivalent experience
• Experience with the management of scientific and experimental wet lab data in a pharma context
• Experience with life sciences data, including bioinformatics, computational chemistry, and biomedical research data
• Experience building backend systems for web applications, using technologies such as Django, SQLalchemy, Pydantic, PostgreSQL, DBT
• Experience designing, implementing and maintaining relational data models with Python-based interfaces
• Hands-on experience with cloud engineering in a compute-heavy environment, preferably on GCP

• Multi-disciplinary collaboration
• Adaptability across domains
• Curiosity and continuous learning
• Data engineering
• Service-oriented architectures
• Python production code

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