Senior Analytics Engineer – Last Mile, Equity & Hybrid

Women in Data®; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Generous equity

Private health & dental coverage

25 days holidays

Enhanced parental leave

Hardware of your choice

Extensive perks

On-site 4 days, 1 remote day

Job summary

Relay, powered by a data-centric Last Mile squad in the UK, is building a data-driven marketplace that makes parcel movement smarter. You’ll join as Senior Analytics Engineer to design foundations for analytics, data science and AI workflows, partnering with engineers and business leaders.

You’ll help ensure data quality and scale data practices across teams. The role emphasizes building real-time data pipelines, collaborating with stakeholders, and shaping analytics standards as Relay grows in

Qualifications

• 5+ years of experience as an analytics engineer, data engineer, data analyst or similar role.
• Extensive experience with SQL, particularly BigQuery and PostgreSQL.
• Demonstrated experience with dbt, building and maintaining efficient, scalable DAGs.
• Python proficiency for data manipulation, scripting and automation.
• Experience with data visualization tools such as Tableau, Looker, or similar.
• Experience in effective communication, gathering requirements and guiding non-technical stakeholders.
• Familiarity with using AI tools to accelerate workflows.

Responsibilities

• Design core data models in collaboration with engineers and business leaders within the Last Mile squad.
• Build foundations for AI systems powering the Last Mile marketplace.
• Drive data quality through testing, monitoring, and alerting.
• Collaborate across the business to understand data needs and deliver solutions.
• Shape analytics engineering practices and standards as Relay scales.

Job description

Relay, powered by a data-centric Last Mile squad in the UK, is building a data-driven marketplace that makes parcel movement smarter. You’ll join as Senior Analytics Engineer to design foundations for analytics, data science and AI workflows, partnering with engineers and business leaders.

You’ll help ensure data quality and scale data practices across teams. The role emphasizes building real-time data pipelines, collaborating with stakeholders, and shaping analytics standards as Relay grows in