Our platform currently focuses on helping customers get better value from their consumer loans and credit cards, with upcoming plans to expand into mortgages.
We're hiring our first-ever Data Engineer to take ownership of our data architecture, pipelines, and infrastructure. You'll be continuing the work laid by our Tech Lead and will play a critical role in shaping how data drives our product, analytics, and future AI/ML capabilities.
You'll collaborate closely with product and engineering to ensure that our data systems are robust, secure, and scalable, enabling customers to unlock powerful insights.
What You'll Do
* Design and implement our cloud infrastructure (primarily on Google Cloud Platform)
* Build and manage data pipelines using tools like BigQuery, Dataflow, Pub/Sub, Cloud Functions, and Cloud Composer
* Set up a robust data warehouse and establish best practices for ingestion, transformation, and storage
* Work with software engineers and product teams to integrate analytics and event tracking
* Prepare the data ecosystem for future use cases including personalization, recommendations, and real-time analytics
* Help define and implement a modern data stack (Databricks, BI tools like Looker, etc.)
What We're Looking For
* Solid experience building data pipelines and architectures in GCP (or willingness to cross-train from another cloud provider)
* Proficiency in SQL, Python, and ETL frameworks
* Experience with data lakes, warehouses, and orchestration tools
* Self-driven, entrepreneurial mindset - you enjoy building from scratch
* Strong communication and collaboration skills
Why Join Us?
* Be the first data engineer at a high-growth startup
* Build greenfield systems with modern tools - no legacy overhead
* Shape the data culture and influence the future data team
* Join a purpose-driven team working on meaningful financial products
* Flexible working hours, remote-friendly setup, and potential equity options
For any questions, contact Lucy on l.whiting@tenthrevolution.com
