Data Engineer

We're looking for a Data Engineer to own and evolve the data infrastructure that sits underneath all of it. The pipeline is already built and running at real scale. Your job is to go deeper - embedding data further into the business and pushing the AI/ML layer forward. This isn't a maintenance role. It's an ownership role.

In this role, you will:

Our data pipelines run faster, scale cleaner, and break less - because you own the architecture and optimization of our BigQuery warehouse end-to-end.
High-throughput processing and real-time analytics become possible at a scale we haven't reached yet - because you're shaping the distributed systems that get us there.
Data capabilities land in the hands of the people who need them - data scientists, engineers, and product stakeholders from problem to solution, not as a downstream dependency.
The infrastructure gets more reliable, more automated, and easier to monitor - because you treat DevOps and MLOps as part of the job, not someone else's problem.
AI/ML models move from development into production and stay there - not handed off, but owned through the full deployment lifecycle.