Data Engineer

PLATO AG
Berlin, Germany
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Information Engineering Data Infrastructure Extract Transform Load (ETL) Data Transformation Data Warehousing Python (Programming Language) Machine Learning SQL Databases Snowflake Pyspark Data Analytics
+3 more
Real Time Data Terraform Databricks

Job description

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

Requirements

  • 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

About the company

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., Plato is building the AI operating system for distribution. We closed a $14.5M seed round backed by Atomico and Cherry Ventures, and we’re growing fast. Our customers are mid-market distributors who’ve never been exposed to cutting-edge AI software - we’re changing this, starting with sales.

We’re a small, high-conviction team of engineers and operators. Decisions get made fast, the work is real, and there’s no hiding behind the process.

Apply for this position

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Apply on www.adzuna.de
Prepare application

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