Senior Analytics Engineer

Zoopla

Greater London

Hybrid

GBP 60,000 - 80,000

Full time

14 days+

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Benefits offered by this job

25 days annual leave + extra days for years of service

Day off for volunteering

Festive Closure

Cycle to work scheme

Free Calm App membership

Enhanced parental leave

Private medical insurance

On-site gym

7.5% pension contribution

Discretionary annual bonus up to 10%

Job summary

A leading UK property website is looking for a Senior Analytics Engineer to develop data modelling infrastructure and architecture. The role includes automating workflows and collaborating with stakeholders. Key skills include dbt architecture, proficiency in SQL, and experience with visualization tools like Tableau or PowerBI. The position supports a hybrid working model with flexible office days, offering competitive benefits such as annual leave, medical insurance, and a company pension contribution.

Qualifications

Experience setting up & developing dbt architecture using CI/CD practices.
High proficiency with SQL and data modelling best practices.
Experience with visualization tools such as Tableau or PowerBI.

Responsibilities

Own the analytics engineering workflow and architecture.
Ensure orchestration runs successfully and troubleshoot errors.
Deliver and enable others to build well-defined data sets.

Skills

Experience with dbt architecture

Proficient in SQL

Familiarity with Tableau or PowerBI

Communication with non-technical stakeholders

Integrating dbt with modern data tools

Experience with AI workflows

Tools

Databricks

AWS (Glue, Lambda, Step Functions)

Job 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.

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, analyze, 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