Data engineerGarantme’s data team is seeking a high quality data engineer to boost its forces. We are looking for someone who will have a huge impact on designing and delivering data analytics/science/engineering solutions.
A good profile for this position is someone who has good skills and experience in data analytics (closer to the business side of things - reporting in SQL or python scripts), and broader skills in data engineering (data pipelines, deployments, data flows, Python based applications, LLMs/AI work).
Main responsibilities include :
Collaborate with department leads to design and deliver key business analyses
Support the insurance team by conducting actuarial analyses in coordination with our partner insurers and the Head of Insurance
Lead the development and integration of AI-powered features
Ensure the long-term scalability of our technical stack by working with developers and QAs on data model evolution and new feature implementation
Partner with PMs and designers to challenge the product and push for the best possible user experience
Work with fellow tech team members to improve daily operations, internal processes, and the overall delivery workflow
The Team
The data team currently consists of three members, each involved in multiple areas of the data ecosystem.
We collaborate daily with other tech teams—including developers, QAs, the automation and support teams, and designers—to build new features and improve internal processes.
Our main business stakeholders are the Risk and Finance teams, with whom we develop tools and reports to support strategic, data-driven analysis.
Mid-sized to larger projects are tackled using what we call “pizza teams”. A pizza team is created by picking a PM, data team members, developers and QAs. This temporary team’s job is to stay focused, share information and ship the project.
The team works really hard to keep high standards:
Best practices in delivery
Robust code reviews
Fluid communication, share knowledge and information at the right time
Ship fast and fail fast - keep a high velocity to allow innovation or discovery on the product side. Note technical debt and resolve in a timely fashion.
Alternative design thinking - engineer good temporary solutions when needed to balance quality / time to prod
Data team projects
Rental ad matching algorithm
Risk clustering and differentiated pricing
LLMs for legal document verification and digitization
Revenue forecasting and financial balance reporting
Minimum of 3 years of professional experience in data (not including internships or apprenticeship)
High knowledge of SQL
Good level of Python
Experience with dbt and Google Cloud Platform is a plus
Experience with AI frameworks is a plus
Strong communication and analytical skills are a must, being able to work in teams of varying sizes, backgrounds and technical expertises is critical for success