About the role

Moneyfarm is hiring a Lead Data Engineer to build and evolve its data platform for a digital wealth management business. You’ll design and maintain ingestion, orchestration, and transformation infrastructure, build reliable analytical models, and help launch a new product using a Redshift, Airflow, and DBT platform. The work also includes gradually retiring legacy components while maintaining data continuity and contributing to AI-powered platform capabilities.

You’ll work with analysts, software engineers, and product teams to deploy ML and AI applications and turn business needs into data solutions. Moneyfarm asks for 5+ years of data engineering experience, strong SQL and Python, and experience with Airflow, DBT, Redshift, AWS, and Infrastructure-as-Code. The position can be based in Milan or Cagliari, and the company says it will assign the Senior Data Engineer title based on experience and skills.

Highlights

Build and maintain scalable data pipelines and analytical models.
Work with Redshift, Airflow, DBT, AWS, and Terraform.
Support AI-powered platform capabilities and ML/AI applications.
Salary: €55,000-€73,000 gross/year plus bonus.

This recap is dataskew's editorial summary, not the company's copy.