Data Engineer

Nucleus Capital I. GMBH; London; On-site; GBP 40,000 - 70,000; Full time

Job summary

A leading company focused on enhancing food sustainability is seeking a Data Engineer in London. The successful candidate will work alongside experienced professionals to build a robust Data Engineering function, contributing to innovative projects in machine learning and bioinformatics. This role offers competitive salary, equity options, unlimited holiday, and opportunities for career development in a vibrant work environment.

Benefits

Competitive salary & equity options

Unlimited holiday

Career development opportunities

Access to conferences and professional development resources

Qualifications

• 1-3 years of Data Engineering experience in a startup or scale-up environment.
• Experience in shipping at pace on AWS S3 environments.
• Passionate about producing high quality code.

Responsibilities

• Build a best-in-class Data Engineering function across the core platform.
• Structure robust datasets for ML teams.
• Collaborate with ML teams to enhance knowledge graphs.

Skills

Python

Pandas

Bioinformatics

Education

Background in bioinformatics or similar field

Tools

AWS

GCP

Dagster

Airflow

Databricks

Job description

Data Engineer

Job Posted

May 21, 2024 9:53 AM

Location

London

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.

ALT

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 datasets 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, ideally 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

How to Apply

Does this role sound like a good fit? Email your CV to [e-mail]