Data Engineer

About the role

As a founding team member, you'll lead development of our real-time data platform, data warehouse, and infrastructure for our suite of data products. You'll work closely with data science, product, design, and engineering teams to build the data foundation that powers customer-facing analytics and ML models.

What you'll do

• Carry out data modeling that powers real-time customer-facing analytics and data products
• Design flexible schemas that store data from many different sources
• Develop and maintain data pipelines for machine learning algorithms and real-time dashboards
• Partner with data consumers across Plato to understand consumption patterns and design intuitive data models
• Write and deploy high-performance real-time transformations within our data warehouse
• Own and configure our data platform (Databricks)
• Collaborate with our product and engineering teams to build a data product that our end-users love

What you'll need

• 3+ years of experience in data engineering; high-growth tech company experience is a plus
• You have experience building ETLs/ELTs, ideally in PySpark and Airflow
• Experience in working with SQL, data warehouses (e.g. Databricks or Snowflake) and data transformation workflows (e.g. dbt)
• You have interest in data engineering practices and product knowledge, specifically in how to leverage the power of analytics to power customer facing applications
• You have a solid understanding of Software Engineering practices and Data Engineering principles. MLOps knowledge would be appreciated
• Mentality: An experimental mindset with a launch fast and iterate mentality. A strong statistics/mathematics background is a plus

What they offer

• Work from beautiful and centrally-located Berlin office
• Regular team events and lunches
• Top of the range tech setup
• Competitive comp and meaningful equity in rapidly growing startup
• Remote work once a year to escape the Berlin winter