Data Platform Lead - Greater London - JustPark

Description

About JustPark

JustPark is the premier partner offering both B2B solutions for destinations and B2C services for drivers, giving us the best of both worlds. We simplify the entire parking experience. From venues and councils to private driveways, our platform makes it simple for drivers to find, book, and pay for parking—while empowering our operating partners to deliver exceptional parking experiences.

We've always believed parking should be easier—from end to end. That's why we, two trailblazing companies—ParkHub and JustPark—have come together to make that vision a reality.

ParkHub revolutionized event parking in the US., optimizing venue operations for a smoother, stress‑free experience. JustPark transformed parking in the UK, turning the hunt for a spot into a simple, seamless task.

Now, as one unified company, we're combining expertise to offer a full‑service, frictionless parking solution for both businesses and consumers.

About the role

This role exists to own and develop JustPark's data platform end‑to‑end, ensuring our pipelines, models, and analytics foundations are robust, scalable, and business‑ready. The Data Platform Lead serves as the senior technical expert who mentors the team and drives best‑in‑class data practices across the business.

Responsibilities

• Run stand‑ups, sprint ceremonies, and delivery rhythms, ensuring the team stays aligned and works effectively toward all our data initiatives.
• Build, maintain, and evolve our Datastream + BigQuery + dbt data platform with high reliability and scalability.
• Develop clean, well‑tested data models that support analytics, experimentation, and operational use cases.
• Become the subject‑matter expert on JustPark's data and systems.
• Build and maintain robust ETL/ELT pipelines for analytics and product use.
• Integrate ML and data science outputs into production environments.
• Mentor team members and web engineers on event instrumentation, naming standards, analytics quality, and best practices.
• Collaborate with Product & Engineering to ensure analytics requirements are correctly built into features.
• Provide guidance on designing data‑friendly systems and maintaining data quality at the source.
• Contribute to the long‑term architectural vision of the data platform.
• Ensure data reliability, governance, cost optimisation, and scalability.
• Identify opportunities to integrate AI, automation, and modern data tooling.

Qualifications

• Advanced ~8‑10 years of hands‑on data experience with dbt and BigQuery in production environments.
• Strong SQL and proficiency in Python, or R.
• Experience building and operating data platforms in e‑commerce or fast‑growing product companies.
• Deep data modelling expertise with exceptional attention to detail.
• An analytical and curious mindset, interested in the end result not just the process.
• Ability to become an expert in the business and its data to solve problems proactively.
• Experience working with BI tools or supporting analysts who rely on it.
• Ability to mentor both data specialists and software engineers.
• Commercial understanding: able to connect technical outputs to business value.
• Ability to move fast while maintaining high data quality and platform stability.

Additional Technical Skills

• Experience with CDC (Change Data Capture) pipelines and tooling.
• Experience with data orchestration tools i.e. dbt Cloud, Airflow.
• Knowledge of reverse ETL and event‑driven architectures.
• Exposure to AI, ML led tooling.

Recharge your batteries

• Generous holiday policy: 25 days + bank holidays + managers have the ability to grant up to 5 extra days for high performance (total of 38 days a year).
• Free lunch on all office days via Feedr with the option to choose your preferred meal or cuisine everyday.
• Free snacks & drinks on all office days.

Investment in you and your wellbeing

• Private Medical Insurance with Vitality.
• Life assurance through YuLife.
• £25 credit to use for eye tests a year.
• Free O2 concert tickets through our partnership with The O2.

Simplifying journeys so you can breathe easier

• £50 parking credit per month to use 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 of 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 pension options.

Success is best when it's shared

• Quarterly away days with the whole UK team - we all go off‑site each quarter to celebrate our achievements.
• Quarterly team social budget to recharge and bond with your team.
• Lots of social activities and celebrations on our gorgeous rooftop in King's Cross.

Our Interview Process

• First Stage Interview (30 mins) - Virtual interview with the People Team to tell you more about JustPark and discuss your background, career goals, and role fit.
• Hiring Manager Interview (45 mins) - Virtual interview with the Hiring Manager to dive deeper into your experience and your interest for the role.
• Take‑home Task - Candidates are given a take‑home task to complete at their convenience within a set timeframe. We always make sure that the task is relevant for the role and efficient for the process. Our tasks vary in length based on the role and seniority but the task would never take longer than a max. of 3‑4 hours to complete.
• Panel Interview (1.5 hours) - Virtual or on‑site (preferred) interview with a panel of Data & Engineering team members. You will present your completed data task, walk through your process, and answer questions from the panel, who will evaluate your approach, decision‑making, and execution.