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For Companies At a Glance
- Tasks: Join us as a Senior Analytics Engineer to build and optimise our data infrastructure.
- Company: RELAY is revolutionising logistics with cutting-edge technology and a vibrant team culture.
- Benefits: Enjoy generous equity, private health coverage, 25 days holiday, and awesome perks like gym subsidies.
- Other info: Experience a fast-paced hiring process and work alongside industry leaders in a dynamic environment.
- Why this job: Be part of a fast-growing startup that values innovation and teamwork while making e-commerce seamless.
- Qualifications: 5+ years in analytics or data engineering, strong SQL skills, and proficiency in Python required.
The predicted salary is between 48000 - 84000 £ per year.
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
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.
You’ll be joining at an exciting moment as we grow rapidly and expand our network across the UK.
Who Will Thrive in this role?
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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
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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
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Drive data quality – Implement testing, monitoring, and alerting to ensure our data is accurate, timely, and trustworthy
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Collaborate – Work with team members across the business to understand their data needs and deliver solutions
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Shape our practices — Help define and evolve our analytics engineering processes and standards as we scale
What We’re Looking For
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5+ years of experience as an analytics engineer, data engineer, data analyst or similar role
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Extensive experience with SQL, particularly with BigQuery and PostgreSQL
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Demonstrated experience with dbt, with a track record of building and maintaining efficient, scalable, and reliable DAGs
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Python proficiency for data manipulation, scripting, and automation
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Experience with data visualisation tools such as Tableau, Looker, or similar
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Experience in effective communication, particularly in gathering requirements and guiding non-technical stakeholders to the right data solutions
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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?
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Aim with Precision: You define problems clearly and measure your impact meticulously.
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Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction.
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1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience.
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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.
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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.
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Grow the Whole Pie: You seek out win‑win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let’s connect.
Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
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Senior Analytics Engineer employer: Relay Technologies
Contact Detail:
Relay Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer
✨Tip Number 1
Familiarise yourself with Relay's tech stack, especially GCP, BigQuery, and dbt. Understanding these tools will not only help you in interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Engage with the logistics and data analytics community online. Join forums or LinkedIn groups where professionals discuss trends and challenges in the industry. This can provide insights that may be useful during your conversations with Relay.
✨Tip Number 3
Prepare to discuss real-world applications of your previous work. Be ready to share specific examples of how you've built and maintained data warehouses, as well as how you've collaborated with cross-functional teams.
✨Tip Number 4
Showcase your problem-solving skills by thinking through potential challenges Relay might face in scaling their data infrastructure. Presenting thoughtful solutions can set you apart from other candidates.
We think you need these skills to ace Senior Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in analytics engineering, particularly with SQL, BigQuery, and dbt. Emphasise any projects where you've built or maintained data warehouses, as this is crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for Relay's mission to reduce friction in e-commerce. Mention specific aspects of their tech stack that excite you, such as their use of Python and machine learning, and how your skills align with their needs.
Showcase Your Problem-Solving Skills: Provide examples in your application of how you've defined problems clearly and measured your impact in previous roles. This aligns with Relay's value of aiming with precision and will demonstrate your fit for their culture.
Highlight Collaboration Experience: Since the role involves working closely with engineers and business leaders, include examples of past collaborations. Discuss how you've gathered requirements from non-technical stakeholders and guided them in choosing the right data.
How to prepare for a job interview at Relay Technologies
✨Understand the Tech Stack
Familiarise yourself with Relay's tech stack, especially GCP, BigQuery, and Python. Be prepared to discuss how your experience aligns with their use of these technologies and how you can contribute to their data infrastructure.
✨Showcase Your Data Experience
Highlight your previous experience in building and maintaining data warehouses, particularly in fast-growing environments. Be ready to provide specific examples of how you've improved data processes or models in your past roles.
✨Communicate Effectively
Since you'll be working closely with both technical and non-technical stakeholders, practice explaining complex data concepts in simple terms. This will demonstrate your excellent communication skills and ability to collaborate across teams.
✨Prepare for Live Coding
Expect a SQL live coding session during the interview process. Brush up on your SQL skills, particularly in BigQuery and PostgreSQL, and practice writing queries that are efficient and scalable to showcase your technical prowess.