Associate Data Engineer (BJ-13145)

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

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.

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.

Located within the Homes business unit of Houseful, Zoopla is one of the most recognised and loved UK consumer property brands. Our mission is to connect everyone to their home and give them better choices around it, whether moving, managing or financing. Over 60 million people visit Zoopla every month to access comprehensive data and information on every UK property, search over 500,000 homes for sale and rent, find the best agents and secure the latest mortgage deals. Zoopla is part of Houseful, the leader in residential property software, data and insight, and is a sister brand to Hometrack, Alto and Mojo among others.

At Zoopla we know what a home is really worth, but more importantly, we know how it should make you feel. Since 2008 we've been helping to make a house a home, and supporting you every step of the way. Our market-leading data means we've always got our finger on the pulse, and you'll want to be a part of it! We want to help everyone make intelligent home buying decisions. We are building a team that will have the once in a career opportunity to re-imagine an industry.

We're hiring an Associate Data Engineer to join our Homes data platform team to help us build our next generation data platform and pipelines, and inspire best practices for data within Zoopla.

As an Associate Data Engineer at Houseful you will:

• Assist in building and maintaining ETL/ELT pipelines to process data from various sources using AWS technologies.
• Participate in data quality improvements by implementing validation checks, monitoring data accuracy, and resolving any data inconsistencies in collaboration with senior engineers.
• Support the development and maintenance of data warehousing solutions, such as AWS Redshift or Databricks, ensuring alignment with business requirements.
• Collaborate with data analytic engineers, software engineers, data analysts, and data scientists to facilitate data availability and quality for model training and evaluation.
• Monitor data pipelines and queries, helping to identify and address performance issues under the guidance of senior engineers.
• Contribute to the setup and maintenance of monitoring and alerting systems to manage data infrastructure health.
• Help maintain documentation for data systems, processes, and workflows.
• Follow data engineering best practices, including data governance and data security, as directed by senior team members.

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.

Desirable skills:

• Basic proficiency in Python and SQL (familiarity with Spark and DBT is a bonus).
• Some experience with Cloud technologies (AWS is preferred but not mandatory)
• Exposure to building data pipelines or working with data warehouses.
• Familiarity with SQL and NoSQL databases.
• Introduction to Terraform or similar Infrastructure as Code (IaC) platforms.
• Previous experience as either a data engineer or wanting to transition from a similar role such as data analyst, data analytics engineer or software engineering.

Benefits

• Everyday Flex - greater flexibility over where and when you work
• 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
• Talent referral bonus up to £5K