Description
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, and a recently closed Series B ($95M), Relay is scaling faster than 99% 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 consists of ~160 people, around half in engineering, product and data, with 45+ advanced degrees across computer science, mathematics and operations research. Thousands of data points are captured, calculated, analysed and predicted for every single parcel handled.
As a Senior Analytics Engineer, you will sit within the Last Mile squad, contributing to the success of key agentic workflows that power the Last Mile marketplace. Your role involves designing core data models, building foundations for key AI systems, driving data quality, collaborating with team members, and shaping analytics engineering practices.
Responsibilities:
- Design core data models that power analytics, data science and AI workflows
- Build foundations for key AI systems that power the Last Mile marketplace
- Drive data quality by implementing testing, monitoring, and alerting
- Collaborate with team members to understand their data needs and deliver solutions
- Shape analytics engineering processes and standards as Relay scales
Requirements:
- 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, 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
- Effective communication skills, particularly in gathering requirements and guiding non-technical stakeholders
- Familiarity with using AI tools to accelerate 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
- 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, etc.)
- Located in Shoreditch, with a 4-day on-site and 1-day remote work arrangement