Data Engineer

Y-Axis; Berlin; Hybrid; EUR 70,000 - 110,000; Full time

Job summary

Plato is building a real-time data platform, data warehouse, and the infrastructure behind our data products. You will collaborate with data science, product, design, and engineering to underpin analytics and ML models used by customers.

You'll own data modeling, schemas, and data transformations in our Databricks-based stack, shipping data products that power forecasts and insights for our customers.

Qualifications

• 3+ years in data engineering, owning end-to-end ETLs/ELTs.
• Hands-on SQL, data warehouses (Databricks/Snowflake), and dbt.
• Solid grounding in software engineering and data engineering.
• Strong analytics background for business aggregations.
• Launch-fast mindset powering customer analytics.

Responsibilities

• Model data powering real-time analytics and product data assets.
• Design flexible schemas absorbing data from diverse sources.
• Collaborate with data users to design intuitive data models.
• Write and deploy high-performance data warehouse transformations.
• Own and configure Databricks-based data platform with teams.

Skills

Data engineering

SQL

Analytics

ETL/ELT development

Software engineering practices

Tools

Databricks

Snowflake

dbt

PySpark

Terraform

AWS

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

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.