Senior Analytics Engineer

Location: London, England, United Kingdom

Department: Technology - Data

Workplace: hybrid

Employment Type: full

Description

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. Due to the high quality of this data and the associated documentation, business users are able to self-serve, analyse, and build products and services upon it, getting reliable, consistent results.
• 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

• Our hybrid setup means you’ll join us in the Tower Bridge office 3 days each week
• 25 days annual leave + additional leave benefits Including extra days for length of service, plus other leave perks
• 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