Senior Data Engineer

Are you looking for a role where you can implement cutting-edge data systems in a company making a real difference in healthcare? Do you want to be part of a mission-driven team revolutionising how healthcare teams communicate, while working in a hybrid setup that values collaboration and flexibility?
If you’re a Data Engineer with a passion for building scalable systems and solving complex data challenges, this could be the perfect role for you.

Making sure you fit the guidelines as an applicant for this role is essential, please read the below carefully.

What’s in it for you?
You’ll receive a salary of up to £100K, alongside benefits including access to a flexible perks platform where you can choose private health insurance, wellness options, and more.
You’ll work in a hybrid environment, where you’ll collaborate three days a week in a vibrant Shoreditch office with your team. The office offers free healthy breakfasts, lunches, and snacks, prepared by an in-house chef. You’ll also benefit from a £600 annual development budget, enhanced parental leave, and even a policy that allows you to work abroad for short periods.

What you’ll be doing
As a Senior Data Engineer, you’ll be the first hire in this role, reporting directly to the Head of Data. This is a hands-on position where you’ll run requirements gathering workshops and drive forward the data engineering capabilities. You’ll work with cross-functional product teams, collaborating with sub-teams in BI, Data Science & Analytics, and Data Engineering to align data strategies and optimise infrastructure.
Your work will include:
Data Transfers:

Solving the challenge of transferring large tables from SQL Server to Snowflake and ensuring data flows smoothly across the organisation.
Integration & Standardisation:

Integrating data across tools like Azure Data Factory, Python, and Snowflake, while standardising processes and building scalable systems.
Machine Learning Integration:

Supporting machine learning workflows by building and optimising data pipelines, with experience in either fine-tuning or deploying models to production
About you
You’ll bring strong expertise in:
Azure Data Factory:

Experience working at scale is highly valued.
Python:

Advanced skills to build and optimise data pipelines.
SQL : Proficient in querying and transforming data to ensure accuracy.
ETL : Experience with designing and managing ETL processes for data integration and transformation.
Cloud Environments:

Hands-on experience with Azure, including setting up and managing environments for production use.
Bonus points if you have experience setting up data production environments from scratch, including server configuration and environment setup, or if you've worked with SQL to Snowflake integrations. Experience navigating data security challenges, particularly in sensitive industries like healthcare, will also set you apart.
You’ll thrive in this role if you’re motivated by improving healthcare, adaptable to change, and eager to own your work in a dynamic environment. Whether your background is in startups or larger organisations, your ability to build scalable, robust systems will make an impact.

A bit about the company
This health-tech company is revolutionising communication in the healthcare sector with a user-centric SaaS platform. Widely adopted in primary care, it is expanding into hospitals, pharmacies, and other healthcare environments. By partnering with healthcare professionals, the company is driving meaningful improvements in how care is delivered. Backed by recent funding, they are scaling their product and entering new areas of healthcare.
The interview process
Initial Chat: Meet with the team for a competency-based interview.
Technical Assessment Pt 1 :

Take home Task
Technical Assessment Pt2: Onsite interview day consisting of review, new task and demo.
Final Stage: Discuss culture and values fit with the senior leadership team.

Don’t worry if your CV isn’t up to date—just drop me a message at , and we can take it from there.