Negotiable
OverviewSenior Analytics Engineer @ RELAY. 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’re assembling the most talent-dense team the logistics industry has ever seen.
Relay exists to free commerce from friction. 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.
Responsibilities
Partner closely with engineers and business leaders to design and build Relay’s core data models.
Take ownership of Relay’s data infrastructure, including 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.
Qualifications
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
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 and Benefits
Generous equity, richer than 99% of European startups, with annual top-ups to share Relay’s success.
Private health and 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 - 45 mins
SQL Live Coding - 60 mins
Architecture Design - 60 mins
Relay Operating Principles and 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.
Additional Details
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
Industries: Consumer ..... full job details .....
Negotiable