Analytics Engineer

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 experimentation

Work 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 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

• Work with Senior and Lead Analytics Engineers to 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 contributed to maintaining or improving a data warehouse or core data models for an operational team or product area.

• You’re excited by fast-paced environments and are keen to learn what good looks like as part of an experienced data team.

• You’re a reliable and proactive collaborator, eager to build your skills and contribute to shared team goals.

• You are organised, detail-oriented, and comfortable juggling multiple tasks in a startup setting.

• You are naturally curious, enjoy solving problems, and are looking for opportunities to grow your technical and business understanding.

• Strong SQL skills, with hands-on experience in BigQuery or PostgreSQL; confident working with moderately complex data transformations

• Have contributed to DBT models in production and understand principles of modular, testable, and reliable DAGs

• Proficient in Python for data cleaning, scripting, or light automation; comfortable navigating notebooks and writing reusable code

• Experience using tools like Tableau (or similar) to support stakeholders with clean, accurate dashboards and analysis

• Communicate clearly with both technical and non-technical teammates; comfortable gathering requirements and flagging trade-offs

• 3+ years in data, analytics, or engineering roles with demonstrated impact

• Hold a STEM degree or equivalent experience, and bring a strong appetite for learning and taking on complex problems

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

1. Talent Acquisition Interview - 30 min | Online

2. Hiring Manager Interview - 45mins

3. SQL Live Coding - 60mins

4. Architecture Design - 60mins

5. Relay Operating Principles & Impact- 1 hour

6. 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.