
Senior Analytics Engineer - Relay
View Company Profile- Job Title
- Senior Analytics Engineer
- Job Location
- London - Hybrid
- Job Description
Senior Analytics Engineer @ RELAY
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
The team
• ~90 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 experimentationWork Alongside Industry Leaders
Andy Turner – Director of Data
Andy Turner has built and led data teams across global enterprises and high-growth scale-ups on five continents. He has delivered cloud native platforms, launched AI products end-to-end, and holds patents for novel machine learning applications in the UK Capital Markets. Trained in statistics at Oxford, he pairs strong technical fundamentals with clear judgement, a commercial focus, and a bias to deliver.
Relay’s Mission
Relay exists 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.
In this future:
Delivery feels invisible—free shipping is the default, and logistical friction disappears from consumers' minds.
Retailers of all sizes thrive equally online, whether selling a £5 item or a £500 one, as delivery becomes universally efficient and cost-effective.
Just as the internet eliminates friction from communication, Relay removes friction from the movement of goods, enabling broader participation and creating new opportunities for merchants and consumers alike.
Tech Stack Highlights
Cloud-native on GCP with extensive use of BigQuery and Cloud Run
Extensive use of ML modelling and LLM inference - no gimmicks here, this is our daily routine
Python, Rust and TypeScript - we keep things simple but use the right tool for the job
Cross-platform Flutter apps with a deep focus on user experience
Emerging tech integrations, including robotics and IoT-powered operations
The Opportunity
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.
Who Will Thrive in this role?
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.
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 of experience as an analytics engineer or data engineer.
Who Thrives at Relay?
Relayers share core traits, captured in our guiding principles, "The Relay Edge":
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.
Compensation & Benefits
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).
Fast and Focused Hiring Process
Talent Acquisition Interview - 30 min
Hiring Manager Interview - 45mins
SQL Live Coding - 60mins
Architecture Design - 60mins
Relay Operating Principles & Impact- -1 hour
Decision and offer within 48 hours. Our process mirrors our pace of work.
Relay is an equal‑opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
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Relay Company Size
Between 100 - 200 employees
Relay Founded Year
2015
Relay Total Amount Raised
$48,000,000