Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen

Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone.

The Team

• ~110 people, more than half in engineering, product and data
• 45+ advanced degrees across computer science, mathematics and operations research
• Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle
• An intellectually vibrant culture of first‑principles thinking, tight feedback loops and relentless experimentation
• Design core data models - Partner with engineers and business leaders within the Last Mile squad to design and build foundational data models that power analytics, data science and AI workflows
• Build the foundations for our key AI systems - Our Last Mile marketplace is becoming increasingly agentic, you will be a key owner of the inputs that power these systems
• Drive data quality - Implement testing, monitoring, and alerting to ensure our data is accurate, timely, and trustworthy
• Collaborate - Work with team members across the business to understand their data needs and deliver solutions
• Shape our practices — Help define and evolve our analytics engineering processes and standards as we scale
• 5+ years of experience as an analytics engineer, data engineer, data analyst or similar role
• Extensive experience with SQL, particularly with BigQuery and PostgreSQL
• Demonstrated experience with dbt, with a track record of building and maintaining efficient, scalable, and reliable DAGs
• Python proficiency for data manipulation, scripting, and automation
• Experience with data visualisation tools such as Tableau, Looker, or similar
• Experience in effective communication, particularly in gathering requirements and guiding non-technical stakeholders to the right data solutions
• Familiarity with using AI tools to accelerate your workflow
• Experience with orchestration tools like Dagster, Airflow, or similar
• Experience building real-time or near-real-time data pipelines
• Familiarity with machine learning workflows and feature engineering
• Experience embedded in teams building customer facing products
• Previous experience of learning and modelling an unfamiliar operational domain
• A desire to see the real world impact of what you work on!
• Generous equity, richer than 99% of European startups, with annual top-ups to share Relay's success.
• Private health & dental coverage, so comprehensive you'd need to be a partner at a Magic Circle law firm to match it.
• 25 days of holidays
• Enhanced parental leave.
• Hardware of your choice.
• Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more).
• Located in Shoreditch, our office set-up enables the kind of in-person interactions that drive impact. We work 4 days on-site, with 1 day remote.
• Aim with Precision: You define problems clearly and measure your impact meticulously.
• Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction.
• 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience.
• All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts.
• People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success.
• Grow the Whole Pie: You seek out win-win solutions for merchants, couriers, and our customers, because when they thrive, so do we.