Lead Data Engineer

About the role

Lead the design and delivery of scalable ingestion and validation solutions on Snowflake for a major enterprise client. The role is client-facing and combines deep technical leadership with reliable, governed data pipelines.

What you will do

• Lead design and implementation of scalable, reliable data ingestion architectures in Snowflake
• Own end-to-end ELT pipelines that integrate many data sources
• Design and enforce data quality frameworks with validation rules, testing and monitoring
• Apply Medallion Architecture practices across pipelines and optimize AWS-based data architectures
• Spot risks, bottlenecks and quality issues early and put mitigation in place

What they look for

• At least four years in data engineering, with a strong senior or lead mindset
• Hands-on Snowflake experience and strong ELT pipeline and ingestion skills
• Solid SQL and large-scale data processing ability
• Hands-on understanding of Medallion Architecture

Nice to have

• Building and maintaining pipelines on AWS
• Familiarity with Snowflake Cortex
• CI/CD pipelines for data workflows
• Iceberg tables and Snowflake data sharing

Benefits

• Certifications in AWS, Databricks and Snowflake
• AI learning paths, study plans and courses, plus Udemy Business access
• English lessons to support professional communication
• Travel to industry conferences and client meetings
• Career development plans and mentorship programs