At a Glance
- Tasks: Build and maintain data models that drive analytics and reporting for JustPark.
- Company: Join JustPark, a leader in simplifying the parking experience for drivers and businesses.
- Benefits: Enjoy 25 days holiday, free lunches, and private medical insurance.
- Other info: Collaborative team culture with excellent career growth opportunities.
- Why this job: Make a real impact by transforming raw data into trusted insights.
- Qualifications: 4+ years of dbt experience and strong SQL skills required.
The predicted salary is between 60000 - 75000 £ per year.
About JustPark
JustPark is the premier partner offering both B2B solutions for destinations and B2C services for drivers, simplifying the entire parking experience. Our platform makes it simple for drivers to find, book, and pay for parking, while empowering our operating partners to deliver exceptional parking experiences.
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.
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
- 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.
- Curiosity about AI applications in data, including how modern tooling and semantic layers can be leveraged to build more intelligent data products.
Benefits
- 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.
- 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.
- £50 parking credit per month via JustPark.
- Cycle-to-work salary sacrifice scheme.
- EV salary sacrifice car scheme via Octopus Energy.
- Enhanced parental leave with 6-months enhanced maternity leave and 4 weeks fully-paid paternity leave.
- Competitive pension offering with standard and salary sacrifice options.
Our Interview Process
- First-stage - 30-minute virtual video interview via Google Meet with the People Team.
- Second-stage - 45-minute virtual video interview via Google Meet with the Hiring Manager.
- Third-stage - Take home task relevant for the role.
- Final stage - A 1 hour final interview in our office in Kings Cross.
Analytics Engineer in London employer: Justpark
JustPark is an exceptional employer that fosters a collaborative and innovative work culture in the heart of Greater London. With a focus on employee growth, we offer extensive benefits including 25 days of holiday, private medical insurance, and unique perks like free office lunches and monthly parking credits, making it a rewarding place to advance your career as an Analytics Engineer.
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We think this is how you could land Analytics Engineer in London
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We think you need these skills to ace Analytics Engineer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Justpark, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Justpark. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Justpark
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Justpark!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
