Senior Data Engineer [GROWTH]
Core
Design, build, and operate scalable data pipelines and platforms to support customer value optimization, pricing, and retention strategies for HelloFresh's global subscription business.
Role type
Senior Data Engineer (Growth)
Builds
End-to-end data pipelines, data platforms, and infrastructure enabling data science and product teams
Domain
E-commerce, Subscription services, Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Python, SQL, PySpark, AWS (EMR, Glue, S3), Kafka, Kubernetes, Airflow, Databricks, Data Modeling, Relational Databases, Object Stores, CI/CD, Unit Testing, Integration Testing
Preferred skills
E-commerce domain knowledge, Subscription business models, AI tool usage (e.g., Claude Code)
Technologies
AWS EMR, AWS Glue, AWS S3, Kafka, PySpark, Kubernetes, Airflow, Prefect, Tecton, Databricks, Claude Code
Responsibilities
Own end-to-end data pipeline lifecycle from architecture to operations; Collaborate with cross-functional teams including Data Scientists and Product Owners; Mentor colleagues and act as an ambassador for data solutions; Optimize pipeline performance and ensure data quality; Utilize AI tools to enhance productivity
Seniority
Senior, hands-on IC
