Senior Analytics Engineer — Hybrid in London (3/2)

Arrive; Greater London; Hybrid; GBP 80,000 - 120,000; Full time

Job summary

Arrive is seeking a Senior Analytics Engineer in London to shape data strategy and drive analytics across products and commercial decisions. You will own data pipelines end-to-end, from ingestion to analytics-ready datasets, and partner with commercial, product and operations teams to translate business questions into data solutions.

In this hands-on senior role you will define and prioritize the analytics backlog, ensure data quality, and help evolve the data architecture to support growth in

Qualifications

• 5+ years' experience in Analytics/BI/Data Engineering at Senior/Lead level.
• Strong SQL and Python skills with production ELT/ETL pipelines.
• Experience designing end-to-end data pipelines using modern data stack technologies.
• Strong data modelling skills for analytics-ready datasets.
• Experience partnering with commercial, product or operations stakeholders to translate requirements.

Responsibilities

• Design, build and maintain end-to-end data pipelines for analytics and reporting.
• Own and improve existing pipelines for reliability, performance, and scalability.
• Set up pipelines for internal and external data sources with suitable tools.
• Monitor data quality and pipeline health to ensure data trust and uptime.
• Apply analytics engineering best practices: testing, docs, versioning, observability.
• Improve data architecture, modelling and workflows for growing data needs.
• Collaborate with stakeholders to translate business questions into analytics solutions.
• Prioritize analytics backlog balancing tech improvements with business value.
• Define data scope for new initiatives with feasibility and value estimates.

Skills

SQL

Python

ELT/ETL

Data pipelines

Data modelling

Stakeholder comms

Tools

Snowflake

dbt

Airflow

Job description

Arrive is seeking a Senior Analytics Engineer in London to shape data strategy and drive analytics across products and commercial decisions. You will own data pipelines end-to-end, from ingestion to analytics-ready datasets, and partner with commercial, product and operations teams to translate business questions into data solutions.

In this hands-on senior role you will define and prioritize the analytics backlog, ensure data quality, and help evolve the data architecture to support growth in