Senior Analytics Engineer

relaytech.co; London; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

Relay is seeking a Senior Analytics Engineer to enhance its data foundations. The successful candidate will manage data infrastructure, ensuring models reflect operational realities, while collaborating across teams. Excellent SQL and Python skills are essential for success in a dynamic, fast-growing environment.

Benefits

25 days annual leave per year plus bank holidays

Generous equity package

Comprehensive global health insurance

Contributory pension scheme

Free gym membership

Cycle-to-work scheme

Culture of learning and growth

Qualifications

• 5+ years experience as an analytics engineer or data engineer.
• Demonstrable experience with SQL, particularly in BigQuery and PostgreSQL.
• Proficiency in Python for data manipulation, scripting, or automation.

Responsibilities

• Design and build Relay’s core data models.
• Take ownership of Relay’s data infrastructure including ETL and data quality monitoring.
• Collaborate across functions to ensure data relevance and accuracy.

Skills

SQL

BigQuery

PostgreSQL

Python

data visualization

communication

Education

degree in a relevant STEM discipline

Tools

dbt

Tableau

Job description

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.

About the role

As a highly operational business, we rely on data science to guide how every parcel moves through our network - from when it enters the system to when it’s delivered at the doorstep.

We’re looking for an exceptional Senior 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. 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.

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

As the Analytics Engineer at Relay, you can expect to..

• 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..

• Demonstrable, in-depth experience with SQL, particularly in BigQuery and PostgreSQL.

• Proven experience with dbt, focusing on building and maintaining efficient, scalable, and reliable DAGs.

• Proficiency in Python for data manipulation, scripting, or automation tasks.

• 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.

• 5+ years experience as an analytics engineer or data engineer.

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

Relay is offering

• 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