Lead Data Engineer

About the role

Lead the design and delivery of scalable ingestion and validation solutions on a Snowflake and AWS platform for an enterprise client. The role is client-facing and combines technical leadership with data governance.

What you will do

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

What they look for

• At least four years in data engineering, with senior or lead-level capability
• Strong hands-on Snowflake experience
• Experience building ELT pipelines and data ingestion solutions
• Solid SQL and large-scale data processing skills
• Hands-on Medallion Architecture experience

Nice to have

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

Benefits

• Certifications in AWS, Databricks and Snowflake
• Access to AI learning paths, study plans and Udemy Business courses
• English lessons
• Travel to industry conferences and client meetings
• Mentoring, career development plans and company-provided equipment