Data Engineer
About the Role
You will lead the build of a real-time data platform, data warehouse, and the infrastructure powering a suite of customer-facing data products. Sitting within the data team, you will work closely with data science, product, design, and engineering to lay the data foundation behind analytics and ML models that executives at major wholesale and distribution businesses rely on every day.
What You'll Do
Design and own end-to-end ETL/ELT pipelines, building flexible schemas that absorb data from many heterogeneous sources.
Carry out data modeling that powers real-time, customer-facing analytics and data products.
Write and deploy high-performance transformations inside the data warehouse using modern tooling.
Partner with data consumers across the company to understand usage patterns and design intuitive data models.
Own and configure the core data platform (Databricks), working closely with product and engineering to ship data products the team actually uses.
Shape the architecture of the data platform, warehouse, and infrastructure as much of it is still being built.
What We're Looking For
3+ years of hands-on data engineering experience building and owning ETL/ELT pipelines end to end.
Strong proficiency in SQL and data transformation workflows using dbt or an equivalent tool.
Hands-on experience with a modern data warehouse such as Databricks, Snowflake, or similar.
Solid grounding in software engineering practices applied to data work: version control, testing, and deployment patterns.
Experience designing flexible schemas to ingest data from multiple, varied sources and building data models for analytics use cases.
Comfort preparing business aggregates and translating stakeholder requirements into data models.
Familiarity with Python and PySpark for data processing.
Familiarity with infrastructure-as-code tools such as Terraform and cloud platforms such as AWS.
Background at a high-growth tech startup, with an experimental, launch-fast-and-iterate mindset.
Location
This role is based on-site in Berlin, Germany. Visa sponsorship is not available.