Data Engineer — Opportunihub
Job

Data Engineer

Platoapp · Berlin

At a glance

Type
Job
Organisation
Platoapp
Location
Berlin
Work mode
On-site
Deadline
Rolling / not stated
Posted
19 Aug 2026

About this job

<br><strong>Your responsibilities</strong><p><span style="font-size:14px;font-family:Tahoma, Geneva, sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">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.</span><br><span style="font-size:14px;"><br></span><span style="font-size:14px;font-family:Tahoma, Geneva, sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">What you'll actually do:</span><br><br><ul style="margin-top:0;margin-bottom:0;"><li style="list-style-type:disc;font-size:14px;font-family:Tahoma, Geneva, sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;"><span style="color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">Carry out the data modeling that powers real-time, customer-facing analytics and the data products inside our app</span></li><li style="list-style-type:disc;font-size:14px;font-family:Tahoma, Geneva, sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;"><span style="color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">Design flexible schemas that can absorb data from many different sources</span></li><li style="list-style-type:disc;font-size:14px;font-family:Tahoma, Geneva, sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;"><span style="color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">Partner with data consumers across Plato to understand usage patterns and design intuitive data models</span></li><li style="list-style-type:disc;font-size:14px;font-family:Tahoma, Geneva, sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;"><span style="color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">Write and deploy high-performance transformations within our data warehouse</span></li><li style="list-style-type:disc;font-size:14px;font-family:Tahoma, Geneva, sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;"><span style="color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">Own and configure our data platform (Databricks), working closely with product and engineering to ship data products the team actually uses</span></li></ul></p><br><strong>Your qualifications</strong><p><span style="font-size:14px;font-family:Tahoma, Geneva, sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">Must-haves:</span><br><br><ul style="margin-top:0;margin-bottom:0;"><li style="list-style-type:disc;font-size:14px;font-family:Tahoma, Geneva, sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;"><span style="color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">3+ years of experience in data engineering, building and owning ETLs/ELTs end to end</span></li><li style="list-style-type:disc;font-size:14px;font-family:Tahoma, Geneva, sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;"><span style="color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">Hands-on experience with SQL, data warehouses (e.g. Databricks or Snowflake), and data transformation workflows (e.g. dbt)</span></li><li style="list-style-type:disc;font-size:14px;font-family:Tahoma, Geneva, sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;"><span style="color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">Solid grounding in both software engineering practices and data engineering principles</span></li><li style="list-style-type:disc;font-size:14px;font-family:Tahoma, Geneva, sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;"><span style="color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">A strong analytics background - comfortable preparing aggregates in a business context and reasoning through stakeholder logic</span></li><li style="list-style-type:disc;font-size:14px;font-family:Tahoma, Geneva, sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;"><span style="color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">An experimental, launch-fast-and-iterate mindset, genuinely interested in how data engineering powers customer-facing analytics</span></li></ul><span style="color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;"><br></span><span style="font-size:14px;font-family:Tahoma, Geneva, sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">Nice-to-haves:</span><br><ul style="margin-top:0;margin-bottom:0;"><li style="list-style-type:disc;font-size:14px;font-family:Tahoma, Geneva, sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;"><span style="color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">Experience at a high-growth tech startup</span></li><li style="list-style-type:disc;font-size:14px;font-family:Tahoma, Geneva, sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;"><span style="color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">Familiarity with our stack: Python, PySpark, Terraform, AWS, Databricks, dbt, StarRocks</span></li></ul></p><br><strong>Why us?</strong><p><span style="font-size:11pt;font-family:Tahoma, Geneva, sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">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.</span><br><br><span style="font-size:11pt;font-family:Tahoma, Geneva, sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">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.</span></p><p>Find <a href="https://www.arbeitnow.com">Jobs in Germany</a> on Arbeitnow</a>

How to apply

  1. 1 Read the full details above and confirm you meet the eligibility criteria.
  2. 2 Prepare your documents — an updated CV, and any cover letter, proposal or certificates required.
  3. 3 Click Apply on official site to complete your application on Platoapp’s official page.
  4. 4 Submit as early as possible — many close once filled.
Apply on official site

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Frequently asked questions

How do I apply for Data Engineer?

Review the full details and eligibility on this page, prepare your documents, then use the “Apply on official site” button to complete your application on Platoapp’s official page.

Is this opportunity remote or location-based?

This opportunity is based in Berlin. Check the official listing for any relocation or on-site requirements.

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