Analytics Engineer

Company Mission

In the future, almost everything we consume will simply materialise on our doorsteps – what we call “e-commerce” today will simply be “commerce” tomorrow. But if we continue on today’s trajectory, the growth of e-commerce risks damaging the environment, alienating our communities, and straining the bottom line for small businesses.

Relay is an e-commerce-native logistics network. We are built from the ground up for environmental, social, and economic sustainability. By building from the ground up we are able to entirely rethink both the middle and last mile enabling us to reduce the number of miles driven to deliver each parcel, lower carbon emissions, and lower costs, all while channelling funds to community members.

At the same time, we’re fixing the last broken aspect of e-commerce for consumers: delivery. As shoppers, we should have complete control over when and how we receive our purchases, and we should be able to return unwanted items as easily as we ordered them. That’s why whenever you buy from a merchant powered by Relay, you’ll be able to reschedule your delivery at any time. And if you don’t like what you ordered, at the tap of a button we’ll send someone to pick it up.

To orchestrate this complex ballet, Relay relies on a wide range of technologies, from advanced routing and planning to sophisticated user experiences that guide our team members on the ground. 

We’re looking for an exceptional analytics engineer to help us build our data foundations. In this role, you will…

• Partner closely with engineers and business leaders to design and build Relay’s core data models

• Take ownership of Relay’s data infrastructure, including our ingestion, ETL, data quality monitoring and data catalogue.

• Collaborate with team members across every function and business area at Relay, particularly the middle mile and pitstops.

• Regularly spend time in the field understanding how your data models match the on-the-ground reality for our couriers and end-consumers.

You might be a great fit for this role if…

• You’ve built and maintained the data warehouse for a fast-growing or highly-operational line of business.

• You thrive in a dynamic company that is growing fast and are excited to join the team early, and help define our data best practices.

• You’re an independent and proactive team player, excited to learn from and share knowledge with others in the data team and wider business. 

• You are highly organised, detail-oriented, and able to manage multiple projects and priorities in a challenging start-up environment.

• You have a curious mind and love problem-solving. 

We are looking for candidates who…

• Have strong experience with SQL, particularly in BigQuery and Postgres.

• Have experience with dbt, focusing on maintaining efficient and scalable DAGs.

• Are proficient with data visualisation tools such as Tableau or similar.

• Excellent communication and people skills: you will be working closely with analysts and non-technical stakeholders to gather requirements and guide them to pick and choose the right data.

• Extensive experience as an analytics engineer, data analyst or data engineer.

• Hold a degree or equivalent experience in a relevant STEM discipline

What we offer:

• 25 days annual leave per year (plus bank holidays).

• Generous equity package.

• Bupa Global: Business Premier Health Plan - Comprehensive global health insurance with direct access to specialists, dental care, mental health support and more.

• Contributory pension scheme.

• Hybrid working in our Dog-friendly co-working space; we're based in London near Old Street tube station.

• Free membership of the gym in our co-working space in London.

• Cycle-to-work scheme.

• A culture of learning and growth, where you're encouraged to take ownership from day one.

• Plenty of team socials and events - from pottery painting to life-size Monopoly and escape rooms.