Data Engineer

Your responsibilities Joining our data team, you'll lead the build of Plato's real-time data platform, data warehouse, and the infrastructure behind our suite of data products.

You'll work closely with data science, product, design, and engineering to build the data foundation that powers customer-facing analytics and ML models.

What you'll actually do: Carry out the data modeling that powers real-time, customer-facing analytics and the data products inside our app Design flexible schemas that can absorb data from many different sources Partner with data consumers across Plato to understand usage patterns and design intuitive data models Write and deploy high-performance transformations within our data warehouse Own and configure our data platform (Databricks), working closely with product and engineering to ship data products the team actually uses Your qualifications Must-haves: 3+ years of experience in data engineering, building and owning ETLs/ELTs end to end Hands-on experience with SQL, data warehouses (e.

g. Databricks or Snowflake), and data transformation workflows (e. g.

dbt) Solid grounding in both software engineering practices and data engineering principles A strong analytics background - comfortable preparing aggregates in a business context and reasoning through stakeholder logic An experimental, launch-fast-and-iterate mindset, genuinely interested in how data engineering powers customer-facing analytics Nice-to-haves: Experience at a high-growth tech startup Familiarity with our stack: Python, PySpark, Terraform, AWS, Databricks, dbt, StarRocks Why us?

You'll join Plato's data team with real ownership over how our data platform, warehouse, and infrastructure evolve - much of it is still being built, so there's genuine room to shape the architecture rather than just maintain it.

Your work will directly power the forecasts and recommendations that C-suite executives at some of the largest wholesale and distribution businesses rely on to run a $48tn in