At a Glance
- Tasks: Design data models and build AI systems to enhance our Last Mile marketplace.
- Company: Join Relay, a fast-growing logistics startup backed by major investors.
- Benefits: Generous equity, private health coverage, 25 days holiday, and extensive perks.
- Other info: Dynamic team culture focused on collaboration, growth, and innovation.
- Why this job: Make a real-world impact in e-commerce logistics with cutting-edge technology.
- Qualifications: 5+ years in analytics engineering, strong SQL skills, and Python proficiency.
The predicted salary is between 60000 - 80000 £ per year.
Relay is fundamentally reshaping how goods move in an online era. Backed by Europe’s largest-ever logistics Series A ($35M), Relay is scaling faster than 99.98% of venture-backed startups. 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
The Opportunity:
At Relay, we rely on data to guide how every parcel moves through our network — from when it enters the system to when it's delivered at the doorstep. Our data infrastructure is the backbone that powers everything from real‑time operational decisions to strategic business insights to networks of autonomous AI agents. We're looking for a Senior Analytics Engineer to sit within our Last Mile squad; our biggest and most data‑rich squad. Your role will help contribute to the success of the key agentic workflows that power our Last Mile marketplace.
Who Will Thrive in this role?
- 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
What We're Looking For:
- 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
Nice to Have:
- 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!
Compensation, Benefits & Workplace:
- 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.
Who Thrives at Relay?
- 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.
Relay is an equal‑opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
Senior Analytics Engineer employer: Relay
Relay is an exceptional employer, offering a vibrant work culture that thrives on innovation and collaboration. With generous equity options, comprehensive health benefits, and a focus on employee growth through continuous learning, Relay empowers its team to make a real-world impact in the logistics industry. Located in the dynamic Shoreditch area, employees enjoy a supportive environment that fosters creativity and teamwork, making it an ideal place for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Relay. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your analytics prowess. Bring it up during interviews to demonstrate your hands-on experience.
✨Tip Number 3
Be ready to discuss real-world problems. Relay values practical solutions, so think about how your past experiences can solve challenges they face in logistics.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team.
We think you need these skills to ace Senior Analytics Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior Analytics Engineer. Highlight your experience with SQL, dbt, and any relevant data visualisation tools. We want to see how your skills align with our mission at Relay!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data and how you can contribute to our Last Mile squad. Don’t forget to mention any experience you have with AI systems or real-time data pipelines.
Showcase Your Collaboration Skills:We love teamwork at Relay! In your application, give examples of how you've worked with engineers and business leaders to deliver data solutions. This will show us that you’re a great fit for our collaborative culture.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Relay
✨Know Your Data Models
As a Senior Analytics Engineer, you'll be designing core data models. Brush up on your SQL skills, especially with BigQuery and PostgreSQL, and be ready to discuss how you've built and maintained efficient data models in the past.
✨Showcase Your Collaboration Skills
Relay values teamwork, so be prepared to share examples of how you've collaborated with engineers and business leaders. Highlight any experiences where you gathered requirements from non-technical stakeholders and delivered effective data solutions.
✨Demonstrate Your Problem-Solving Mindset
Relay is all about tackling hard problems. Think of specific challenges you've faced in previous roles and how you approached them. Be ready to discuss how you measure impact and drive improvements in your work.
✨Familiarise Yourself with AI Tools
Since you'll be building foundations for key AI systems, it’s a good idea to brush up on any AI tools you've used. Be prepared to discuss how you've leveraged these tools to enhance your workflow and the outcomes of your projects.
