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At Houseful, we're dedicated to assisting everyone in making wise decisions about their homes.
Do the best work of your life!
Houseful is the home of renowned brands like Zoopla, Alto, Hometrack, Calcasa, Mojo, and Prime location. Collectively, we are establishing the connections that catalyse better property decisions by harnessing the collective power of software, data, and insight. We support hybrid working from our London headquarters and promise everyday flexibility.
We use both our head and heart in our efforts to achieve our grand ambitions and facilitate progress in the property market. There's no better time to join us!
Data forms the core of the systems that breed Houseful experiences for Estate Agents, Landlords, consumers, and bank lenders. We are on the lookout for a Senior Data Engineer to develop our advanced analytics and real-time big data platform, and implement our vision of creating a suite of highly valuable and renowned data products.
Answering to the Data Engineering Manager, this role implies supporting the designing and delivering of data-focused technology solutions for Zoopla and its three business units; Homes, Hometrack and Software.
These technology solutions will embody our strategies for Houseful's overall data scenery, data models, taxonomies and reference data hierarchies, data governance, and supervision, and data monetization opportunities.
All qualified applicants will be considered for employment without discrimination on the grounds of race, color, nationality, religion, sexual orientation, gender, gender identity, age, physical disability, or the length of unemployment.
Essential Skills:
A passionate engineer with previous commercial data engineering experience. Capable of supporting and guiding other team members. Must be comfortable working in a dynamic environment with a certain degree of uncertainty, and working with SQL / NoSQL. A proponent of languages, tools on the job to ensure the product's competitiveness in a rapidly evolving ecosystem. Should have a positive, cooperative mindset and a desire to provide tangible business value to the customer.
Technical Skills:
Requisite experience using Amazon Web Services (Glue, Redshift, Lambda, Step Functions), Terraform, Python, Spark, Kinesis being an added advantage, Docker or ECS, DBT, knowledge on a modern orchestration tool such as Airflow, Dagster, Prefect is desirable, as well as experience running machine learning pipelines in production.
Benefits:
Everyday Flex - enhanced flexibility for where and when you work. 25 days of yearly leave plus additional days based on years of service. A day off for your birthday, house move, good deed day, and digital detox day. Cycle-to-work and electric car schemes. Free membership for the Calm App. Enhanced Paternity Leave. Financial Support for Fertility Treatment. Group Income Protection and private medical insurance. On-site gym in London or membership in regional offices. 7.5% pension contribution by the company. Discretionary yearly bonus up to 10% of base salary. Talent referral bonus up to £5K.
