Analytics Engineer

Role Overview

About the Role The Analytics Engineer is a hands-on technical role within JustPark's data team, sitting at the intersection of data engineering and analytics. You'll be responsible for building and maintaining clean, well-tested data models that power reporting, BI, and business decision-making across our two-sided marketplace. Working closely with the Data Platform and BI teams, you'll help translate raw data into trusted, scalable assets that shape how JustPark makes decisions.

Responsibilities

• Build, test, and document dbt models in BigQuery across the staging, intermediate, and mart layers that power analytics and reporting across the business
• Partner with the BI team and Data Platform Lead to turn business questions into reusable, well-modelled data assets
• Work with backend engineers to stay ahead of schema changes and resolve data quality issues at source rather than patching them downstream
• Improve the warehouse over time — reducing complexity, improving query performance, and keeping BigQuery costs in check
• Contribute to data governance: documentation, naming standards, discoverability, and exploring how emerging AI tooling can strengthen the data platform

Requirements

Must-haves

• 4+ years of hands-on dbt Core experience in a production environment
• Proficient in SQL and comfortable with modern data warehouse concepts such as dimensional modelling and layered architecture
• Practical cloud data warehouse experience, with the ability to write efficient queries and a solid understanding of how to improve performance
• Translates business requirements into delivery, comfortable working from a business problem through to a shipped model
• Understands the distinction between transactional and analytical systems, and how backend schema changes can affect downstream data models
• Comfortable working in a git-based development workflow, including pull requests, code reviews, and contributing to team coding standards
• Takes ownership of data quality in the models they build, proactively identifying and resolving issues rather than treating it as someone else's problem
• Curiosity about AI applications in data, including how modern tooling and semantic layers can be leveraged to build more intelligent data products

Nice-to-haves

• Experience with dbt Cloud and BigQuery, including scheduling, orchestration, and warehouse optimisation
• Familiarity with Tableau or supporting analysts who use BI tools
• Experience building semantic layers, ideally with an understanding of how they support LLM and AI applications
• Experience with CDC pipelines or event-driven data architectures
• Python for data transformation or automation tasks

Tech Stack

• BigQuery
• Cloud
• Python
• SQL
• Tableau

Benefits

Recharge your batteries

• Generous holiday policy: 25 days + bank holidays + managers can grant up to 5 extra days for high performance (total of 38 days a year)
• Free lunch on all office days via Feedr with daily meal choice
• Free snacks & drinks on all office days

Investment in you and your wellbeing

• Private Medical Insurance with Vitality
• Life assurance through YuLife
• £25 credit for eye tests per year
• Free O2 concert tickets through our partnership with the O2

Simplifying journeys so you can breathe easier

• £50 parking credit per month via JustPark
• Cycle-to-work salary sacrifice scheme
• EV salary sacrifice car scheme via Octopus Energy

We look out for your family

• Enhanced parental leave with 6-months enhanced maternity leave and 4 weeks fully-paid paternity leave
• Help finding great childcare with funded hours via Koru Kids

Look after the pennies

• Competitive pension offering with standard and salary sacrifice options

Success is best when it's shared

• Quarterly away days with the whole UK team
• Quarterly team social budget
• Social activities and celebrations on our gorgeous rooftop in King's Cross