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 industry.

You'll build with a modern stack (Databricks, dbt, Terraform) and full ownership over how it's built, backed by investors and advisors who've helped scale companies like Miro, Celonis, and Personio.

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