Senior Data Engineer - Contractor
London, England, United Kingdom
2 x Outside IR35 6 month contracts available in our Hometrack team.
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 Hometrack, we’re redefining the mortgage journey for lenders, brokers and borrowers. We deliver market-leading valuation and risk evaluation services across the property technology and financial technology industries.
Our customers include 9 of the top 10 mortgage providers, as well as many others in financial services. Founded in 1999, we made our name with our Automated Valuation Model (AVM) and now provide more than 50 million automated valuations every year.
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.
We need 2 x Senior Data Engineer's to join our team's and help us build our next generation data platform and pipelines, and inspire best practice for data across Houseful.
Your first challenge will be to join the team responsible for building and reimagining the company's core valuation models.
As a senior data engineer you will have an exciting and varied set of responsibilities:
- Building out the core data platform on Databricks (writing terraform, deploying infrastructure)
- Replatforming some of the companies core datasets migrating them from SQL Server to the Databricks platform (we use DLT to build out robust data pipelines)
- Supporting Data Scientists in improving our models by ensuring access to data and supporting in the deployment of models to production
Desirable tech skills:
- Python, Spark
- Experience in the Cloud, preferably AWS
- Terraform, or similar IaC
- SQL, NoSQL
- Experience building out data warehouses and building data pipelines
- Experience with Data platform solutions: ideally Databricks, or Snowflake
- Nice to have: Docker (ECS/Kubernetes) & Orchestration tools (AWS Step Functions, Airflow, Dagster)
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow AWS Dagster Databricks Data pipelines Docker ECS Kubernetes NoSQL Pipelines Python Snowflake Spark SQL Step Functions Terraform
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