Developing and maintaining a suite of production SQL data models used by our customer base and the community. Primarily focusing on dbt for packaging and execution.
Building out our offering around data modeling. You won’t just work on the data models themselves - you’ll work closely with Product and the wider Engineering team to shape the way we collect data via our trackers to build better data models, and drive what data model tooling we provide as part of our commercial offering as well.
Building and optimizing real-time and batch data pipelines that power personalization, recommendation engines, and predictive models — from streaming ingestion and transformation using Benthos, to materializing features for agentic use cases and customer-facing AI systems.
Supporting our prospect/customer facing teams by showcasing the possibilities with Snowplow data, such as powering personalisation and recommendation systems, or developing advanced models (marketing attribution, lifetime value, etc.).
Being an active part in decision making on what we build to help our customers get more value out of Snowplow, and how we deliver it. You’ll bring a different perspective and we’ll want your input!
Responsible for developing and productizing data models, focusing on scalability, performance and maintainability, and developing in-depth understanding of cloud data warehouses and common web and mobile analytics use cases.
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