Analytics Engineer

London, United Kingdom

SQL Developer Data Engineer Data Analyst Data Architect BI Developer Database Developer

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Hybrid - minimum 2 days on site in London, Tower Bridge HQ

At Houseful, we’re here to help everyone make intelligent decisions about their home

Do the best work of your life!

Houseful is home to trusted brands Zoopla, Alto, Hometrack, Calcasa, Mojo and Prime location. Together were creating the connections that power better property decisions, by unlocking the combined strength of software, data and insight.

We make moves with head and heart to achieve our big ambitions, and to drive progress in the property market. There’s never been a better time to join us.

At Houseful, we create the connections that power better property decisions.

As an Analytics Engineer in the Data Platform team, you’ll own and develop data modelling pipelines that power a wide range of data initiatives and data products.

In this role, you’ll:

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 working with AWS (Redshift, Glue, Lambda, Step Functions) or similar cloud platform, and Databricks (desirable)
Has experience integrating dbt with other tools in the modern data stack (desirable)

We want to make Houseful more welcoming, fair and representative every day. We’ll consider everyone who applies for this role in the same way, regardless of your ethnicity, colour, national origin, religion, sexual orientation, gender, gender identity, age, physical disability, neurodiversity status, family or parental status, or how long you’ve spent unemployed. We’re reimagining the property industry for everyone, so we want our team to represent people from all walks of life. We actively welcome your application if your demographics or background are underrepresented in the technology or property sectors.