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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 annual leave, remote work options, and health benefits.
- Other info: Hybrid working model with a vibrant office near Tower Bridge.
- Why this job: Make a real impact with AI-driven experiences in the property sector.
- Qualifications: Experience with dbt architecture, SQL, and visualisation tools like Tableau.
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 Ltd.
Contact Detail:
Zoopla Ltd. 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 tackled similar challenges in the past, especially with dbt and CI/CD practices.
✨Tip Number 3
Show off your communication skills! Practice explaining complex technical concepts in simple terms. This will help you connect with non-technical stakeholders during the interview.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining 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, be 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 the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Zoopla Ltd.
✨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 how you've optimised performance in previous roles. Prepare examples of your work with dbt architecture and CI/CD practices to demonstrate your hands-on experience.
✨Communicate Like a Pro
You'll be liaising between technical and non-technical stakeholders, so practice explaining complex concepts in simple terms. Think about how you can convey your past experiences in a way that highlights your ability to bridge the gap between teams. Role-play with a friend or family member to refine your communication skills.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific challenges you've faced in analytics engineering and how you overcame them. Think of examples where you proactively sought automation or optimisation opportunities. This will show your potential employer that you're not just reactive but also forward-thinking.
✨Familiarise Yourself with Zoopla's Culture
Understand Zoopla's guiding behaviours: keep it simple, take ownership, make it better, and win together. Reflect on how your personal values align with these principles and be ready to share examples from your past that demonstrate your commitment to teamwork and continuous improvement.