At a Glance
- Tasks: Design data models and build AI systems to optimise our Last Mile marketplace.
- Company: Relay, a fast-growing logistics startup backed by a massive $35M investment.
- Benefits: Generous equity, private health coverage, 25 days holiday, and extensive perks.
- Other info: Dynamic office in Shoreditch with a collaborative culture and growth opportunities.
- Why this job: Join a vibrant team and make a real impact in the logistics industry.
- Qualifications: 5+ years in analytics engineering with strong SQL and Python skills.
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. We are assembling the most talent-dense team the logistics industry has ever seen.
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 are 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 will be joining at an exciting moment as we grow rapidly and expand our network across the UK.
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
- 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.
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.
Senior Analytics Engineer in London employer: Relay Technologies
Relay is an exceptional employer, offering a vibrant and intellectually stimulating work culture that prioritises creativity and collaboration. As a Growth Marketing Manager, you'll have the unique opportunity to drive impactful marketing strategies in a fast-paced environment, backed by significant investment and a mission to revolutionise logistics. With a commitment to employee growth and a focus on diversity and inclusion, Relay empowers its team members to experiment, learn, and thrive while making a meaningful difference in the e-commerce landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Engineer in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Relay Technologies!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Analytics Engineer at Relay Technologies.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Relay Technologies.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Analytics Engineer at Relay Technologies, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Analytics Engineer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Relay Technologies, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Relay Technologies. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Relay Technologies
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Relay Technologies!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
