Job Description

Level

: 5

Role Type: Permanent or Contract

Location

: Hybrid - work on site in our London office 3x/wk

The Mission

Our platform is transforming life sciences automation. It already saves lives -- and now we're scaling globally. Data is the backbone of that mission: powering analytics, optimisation, and decision-making at scale.


We're looking for a

Staff Data Engineer

who can help us design and deliver a data platform that is modular, production-ready, and built for speed -- across warehouses, lakes, streams, and everything in between.

The Role

As a

Staff Data Engineer

, you'll be a

hands-on contributor

while also influencing architecture and best practices. You'll design and implement pipelines, models, and platforms that support product and analytics needs on a global scale.


This is not BI or reporting alone -- this is about building

data infrastructure as product

, with modularity, automation, and global scale at its core.

What You'll Do

Model Data for Scale:

Build and optimise data models across ER, document, graph, and vector structures.

Design & Run Pipelines:

Deliver ETLs and pipelines for batch, real-time, and streaming needs.

Work Across Data Stores:

Architect solutions across

data warehouses (Snowflake)

,

data lakes

, and modern platforms like

Databricks

.

Streaming & Integration:

Use

Kafka (or similar)

to manage high-volume real-time data flows.

Catalogue & Governance:

Define and deploy

data catalogues

, reporting standards, and best practices for analytics and performance.

Automate by Default:

Use

Python

and containerisation to automate workflows and deploy production-grade solutions.

Product Thinking:

Build for modularity and reusability, always balancing speed with scale and reliability.

What You Bring

Strong experience in

data modelling

(ER, Document, Graph, Vector). Proven expertise with

data warehouses (Snowflake)

,

data lakes

, and

Databricks

or similar. Hands-on with

ETL pipelines, batch + streaming solutions

, and real-time frameworks like

Kafka

. Comfortable with diverse origin data: raw files, SQL, NoSQL, graph DBs, vector DBs. Strong

Python skills

, with containerisation (Docker/Kubernetes) experience. Experience deploying

data catalogues and governance frameworks

. A track record of building data solutions in a

product/platform environment

, at

global scale

.

Nice to Have

IoT or edge-deployed data experience. Additional frontend or analytics tooling knowledge. Exposure to mission-critical industries (life sciences, healthcare, logistics).

Why Join Us

Build the

data backbone

of a global platform, where analytics directly affect scientific progress and human health. Join a

senior, high-calibre engineering team

working closely with product and design. Shape data infrastructure that is modular, production-ready, and built for scale. Hybrid working: 3 days in our London office, balanced with flexibility. Competitive package, plus the opportunity to do

career-defining, meaningful work

.

If you're a staff-level data engineer ready to shape the backbone of a global product -- and want your work to have real-world impact -- this is the role.

UK Team Benefits:

Vitality Health Insurance


Private healthcare that incentives a healthy lifestyle


Eye Care


Get your eyes tested once a year on us!


Salary Sacrifice - EV


Sacrifice some of your monthly salary in exchange for a company car, provided by your Employer


Salary Sacrifice - Bike & Tech


Sacrifice some of your monthly salary in exchange for bike and tech products, provided by your Employer

? Wellbeing & Support

Support for both your physical and mental health

? Wellbeing & Development Allowance
Invest in your own well-being, personal growth, and hobbies


Spill & Employee Assistance Programme


Access the therapy for you and your family through Spill


Additional Leave


Time off for dependents, 'Me days', and volunteering days off


Pension Scheme


Plan for retirement with NEST


Group Life & Critical Illness cover


Life insurance - for a piece of mind


Birthday


Time off for your Birthday

We are an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Discrimination of any kind based on race, colour, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status is strictly prohibited.


Locations
London

Colleagues

--------------

Taylor Cole
Senior Talent Partner

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