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For Companies At a Glance
- Tasks: Own and develop data modelling infrastructure and pipelines for impactful data initiatives.
- Company: Join Zoopla, a leading UK property website with a collaborative culture.
- Benefits: Enjoy 25 days leave, remote work options, and wellness perks like gym access.
- Why this job: Make a real impact by optimising data processes and driving AI-driven experiences.
- Qualifications: Experience in dbt architecture, SQL, and visualisation tools like Tableau or PowerBI.
- Other info: Hybrid working model with a vibrant office near Tower Bridge.
The predicted salary is between 60000 - 75000 £ per year.
Who We Are
Zoopla is a leading UK property website and trusted consumer brand, empowering movers to make better property decisions with over nine million monthly users generating over one billion annual property searches. Zoopla is more than a property portal. Over 5 million homeowners are subscribers, tracking their property values and providing a pipeline of movers for Zoopla’s customers (estate agents and housebuilders). The business is investing in leveraging its scale and reach to build new, AI-driven experiences that engage movers and unlock value and a strong return on investment for customers.
Our guiding behaviours define how we work together and what we expect from one another. These behaviours are to keep it simple, take ownership, make it better and win together. We strive for progress not perfection and have no doubt that we can achieve our ambitions if we focus on the right things, give it our all and do it together.
What You’ll Do
- As a Senior Analytics Engineer in the Data Analytics team, you’ll own and develop the data modelling infrastructure, architecture and pipelines powering a wide range of data initiatives and data products.
- Own the analytics engineering workflow and architecture for the data modelling layer at the heart of the business.
- Ensure orchestration runs successfully, troubleshooting errors in key pipelines and empowering others to do the same.
- Effectively communicate and act as a liaison between highly technical and non-technical stakeholders, to translate business needs into engineering requirements.
- Deliver, and enable others to build, well-defined, transformed, tested, documented, and code-reviewed data sets.
- Proactively seek automation and optimisation opportunities to constantly improve and develop the transformation layer, and unify its usage across multiple teams.
- Train, upskill and support others in dbt and data modelling best practices, applying software engineering practices to analytics code (version control, automated testing, continuous integration).
We’re looking for someone who:
- Has experience setting up & developing dbt architecture using CI/CD practices (essential)
- Is highly proficient with SQL and data modelling best practices for optimising performance (essential)
- Has previously worked with visualisation tools such as Tableau or PowerBI (essential)
- Is confident collaborating and communicating with non-technical stakeholders (essential)
- Has experience integrating dbt with other tools in the modern data stack (essential)
- Is comfortable harnessing AI workflows to expedite development in a scalable, sustainable way (essential)
- Has experience working with Databricks and AWS (Glue, Lambda, Step Functions) or similar cloud platform (desirable)
Where You’ll Be
At Zoopla we embrace hybrid working but emphasise the importance of also spending time together. You’ll have the opportunity to work remotely (at home) for two days per week with Mondays and Thursdays as all-Zoopla days in the office together plus a third in-office day of your choosing. Our home in Tower Bridge is a wonderful hub for collaborative and individual working, with space to socialise and exercise. On our doorstep you’ll find buzzing Borough, Bankside and Bermondsey, not to mention soaring river views.
Benefits:
- 25 days annual leave + extra days for years of service
- Day off for volunteering & Digital detox day
- Festive Closure - business closed for period between Christmas and New Year
- Cycle to work and electric car schemes
- Free Calm App membership
- Enhanced Parental leave
- Fertility Treatment Financial Support
- Group Income Protection and private medical insurance
- Gym on-site in London
- 7.5% pension contribution by the company
- Discretionary annual bonus up to 10% of base salary
Senior Analytics Engineer employer: Zoopla
Contact Detail:
Zoopla Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Zoopla on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your SQL and data modelling skills. Be ready to showcase how you've used these in past projects, especially with dbt and CI/CD practices. We want to see your expertise shine!
✨Tip Number 3
Don’t forget to highlight your communication skills! As a Senior Analytics Engineer, you'll need to bridge the gap between technical and non-technical folks. Share examples of how you've done this in previous roles.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in being part of the Zoopla team.
We think you need these skills to ace Senior Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Analytics Engineer role. Highlight your experience with dbt architecture, SQL proficiency, and any relevant visualisation tools like Tableau or PowerBI. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analytics and how you can contribute to our team at Zoopla. Don’t forget to mention your experience in collaborating with both technical and non-technical stakeholders.
Showcase Your Projects: If you've worked on any projects that demonstrate your skills in data modelling or automation, make sure to include them. We love seeing real-world applications of your expertise, especially if they relate to the modern data stack or AI workflows.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us. Plus, it’s super easy!
How to prepare for a job interview at Zoopla
✨Know Your Data Modelling Inside Out
As a Senior Analytics Engineer, you'll need to showcase your expertise in data modelling. Brush up on your SQL skills and be ready to discuss specific projects where you've optimised performance. Prepare to explain how you’ve set up dbt architecture and integrated it with other tools in the modern data stack.
✨Communicate Like a Pro
You'll be liaising between technical and non-technical stakeholders, so practice explaining complex concepts in simple terms. Think of examples where you've successfully communicated business needs into engineering requirements, and be prepared to demonstrate your collaborative approach.
✨Showcase Your Problem-Solving Skills
Be ready to discuss how you've tackled challenges in your previous roles, especially around troubleshooting errors in key pipelines. Highlight any automation or optimisation opportunities you've identified and implemented, as this aligns with Zoopla's focus on continuous improvement.
✨Embrace the AI Revolution
Since Zoopla is keen on leveraging AI-driven experiences, come prepared to talk about how you've harnessed AI workflows in your past work. Share specific examples of how you've used AI to expedite development and improve scalability, showing that you're forward-thinking and innovative.