Data Engineer

Platoapp · Berlinmid

In short

▸Construyes y mantienes la plataforma de datos en tiempo real y el data warehouse de Platoapp.
▸Diseñas modelos de datos flexibles y trabajas con equipos de producto y ciencia de datos para impulsar analytics y modelos ML.
▸Tienes verdadera autonomía para definir la arquitectura del sistema, ya que está en etapa de construcción.

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What they ask for

✓3+ años en ingeniería de datos, construyendo y gestionando ETL/ELT desde cero
✓Experiencia práctica con SQL, data warehouses (Databricks o Snowflake) y dbt
✓Conocimiento sólido de principios de ingeniería de software y datos
✓Capacidad para crear agregados y modelos de datos en contexto empresarial
✓Mentalidad experimental: lanzar rápido e iterar
✓Interés genuino en cómo los datos impulsan analytics para clientes

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PythonPySparkTerraformAWSDatabricksdbtStarRocks

Who should you write to at Platoapp?

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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. g. 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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