Senior Analytics 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 an Analytics Engineer on the lookout for something new, this could be the perfect role for you.

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, collaborating 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 benefit from a £600 annual development budget, enhanced parental leave, and a policy that allows you to work abroad for short periods.

What you’ll be doing

As a Senior Data Engineer, you’ll be joining a Data team consisting of 10, reporting directly to the Head of Data. Your work will include:

• Maintaining the presentation layer of our data warehouse for reporting and analysis, including databases, schemas, views and tables.
• Building well-tested, up-to-date and documented data models that the rest of the company can use to answer their questions.
• Working closely with Data Analysts and BI specialists to understand their reporting needs and provide accurate and comprehensive data models.
• Proactively spotting opportunities to improve the design and performance of their data warehouse presentation layer.
• Supporting long-term data strategy planning, collaborating with the wider company to understand the business needs on accessing and collecting data and propose appropriate solutions, prioritising automation vs manual process.
• Setting standards for building and delivering datasets while promoting and executing data governance practices.

About you

You’ll ideally have the following experience:

• Experience working as part of a data team, preferably in roles such as an Analytics Engineer or Data Engineer.
• Comfortable adopting data engineering best practices, including version control and using Git, and you have experience teaching others how to embrace these best practices.
• You’re an SQL whiz! You know how to write SQL that is easy to understand, simple to troubleshoot, and highly performant.
• You have a solid understanding of data modelling best practices and database design.
• You possess a strong knowledge of modern programming languages, including Python.
• You communicate effectively with stakeholders and are passionate about enabling them to access data.

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 (normally pulled into the third stage).

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