Data Engineer

About Us

🌽 Safeguarding the future of food

We’re on a mission to accelerate the development of more productive, sustainable, nutritious & climate-resilient food sources.

How? By building the world’s first ML-driven target discovery platform for crop gene-editing.

🧬 From drug target discovery to crop target discovery

While gene-editing of crops is becoming ever more efficient, identifying which genes to edit and how remains a significant challenge.

To overcome this bottleneck, we use cutting-edge deep learning to accurately and efficiently identify high value genetic targets for crop gene-editing.

Our approach draws inspiration from recent advancements in the drug discovery space, incorporating LLMs, transformers and graph-based technologies to build a best-in-class discovery platform for plant sciences.

👥 Team

Led by co-founders Dom (CTO) and Cecy (CEO), we are now are a team of 7 including two ML engineers, a data engineer and two bioinformaticians. We also have a remote, part-time intern conducting ML research. We primarily work together in-person from our office in Spitalfields, London, 4 days per week.

What we're looking for

Working alongside our Data Engineering Lead, Dennis Schwartz, you’ll be helping us build a best-in-class Data Engineering function, working across our core platform build, as well as helping to structure robust data sets for our ML teams to use across their knowledge graphs.

This role would ideally suit a generalist Data Engineer, looking to work in a fast paced, high conviction ML environment who loves to dive into multiple challenges.

The details

🥷 Competencies

Core

• Experienced engineering using Python and Pandas framework in cloud environments (e.g. AWS or GCP)
• 1-3 years of Data Engineering experience in a fast paced start up or scale up environment.
• Academic background in bioinformatics, or similar field with demonstrable knowledge of bioinformatics.
• Passionate about producing high quality code and building robust processes for scale.

Nice-to-have

• Experience shipping at pace on AWS S3 environments.
• Experience working with Dagster orchestrator or similar data orchestration systems (e.g. Airflow, Databricks)”.
• Software Engineering background.

🌈 Benefits

• Competitive salary & equity options
• Unlimited holiday
• Benefits package
• Career development opportunities as the company scales
• Ownership of ambitious, mission-driven work with real-world impact
• Vibrant, innovative & supportive work environment with a committed team
• Access to conferences, events & professional development resources