Data Engineer

As our team in the UK expands, we have created an exciting new opportunity for a Data Engineer based at Bicycle Therapeutics offices at Granta Park, Cambridge.

As a key member of our Systems & Data Engineering team whose goal is to help organize and display the scientific and research data that our scientific colleagues are producing. You will need to be a confident communicator and be able to collaborate with both technical and non-technical stakeholders to deliver solutions that allow our Research & Innovation department to explore data visually and make data-driven decisions. Our core principle is to do the hard work to make things simpler for our users, empowering scientists to focus on discovery and innovation, not tedious manual tasks.

We are looking for a proactive and highly motivated engineer who thrives on challenges and variety. As a key member of a small, high-impact team, you will be asked to get involved in a massive range of projects, requiring you to constantly learn and apply new skills. The ideal candidate is an ambitious, self-driven problem-solver who doesn’t just stick to what they know but is excited by the opportunity to work autonomously and deliver user-friendly solutions in a fast-paced, iterative environment.

This is a hands-on role requiring strong technical capabilities and sound architectural judgment, operating with a high degree of autonomy while aligning key technical decisions with the rest of the team. You will be expected to define and defend technical approaches, contribute to product direction through technical insight, and constructively challenge requirements where needed. You should be comfortable operating in environments where specifications evolve and be capable of adapting designs pragmatically as understanding develops.

You will have demonstrable experience in back-end Frameworks (Flask, Django), database technologies (SQL, no-SQL), software engineering best practices (CI-CD, Agile, Git), and experience of building cloud native solutions in either Google Cloud Platform or AWS. Familiarity with BigQuery, Looker and/or Snowflake would be advantageous. Ultimately you will help to drive the next growth cycle at Bicycle. 

Key Responsibilities 

Data Architecture & Engineering

• Design, implement, and evolve secure, scalable, and cost-effective cloud-native data architectures on GCP or AWS.
• Develop and maintain bespoke data solutions, from back-end systems to front-end visualizations, that directly support scientific workflows.
• Lead the implementation of new data management systems and drive best practices for code development, CI/CD pipelines, and infrastructure-as-code.
• Consume and transform large volumes of scientific data from various sources (including APIs) into structured, queryable data stores.

Prototyping & Collaboration

• Work in a fast-paced, multi-disciplinary team to rapidly prototype web applications and analytics assets that meet the evolving needs of lab scientists, bioinformaticians, and computational chemists.
• Collaborate with technical and non-technical stakeholders to translate complex requirements into robust and intuitive software.
• Partner with senior members of the technology teams to evaluate existing technologies and recommend appropriate technical solutions, scoping for both on-premise and cloud environments.