Data Engineer (AWS & Snowflake)

Quick Facts

• Role: Data Engineer (AWS & Snowflake)
• Work mode: 100% remote
• Engagement: Full-time for 3–5 months (start around December)
• Language: Daily communication in English with a UK client

Description

You will help design and build a modern data platform using AWS and Snowflake for a FinTech/AI analytics project. You’ll implement and optimize ETL/ELT, create scalable data pipelines, and automate data ingestion, including data quality validation and error handling.

Responsibilities

• Co-create the data platform architecture and perform data platform design
• Implement and optimize ETL/ELT processes
• Design and build scalable data pipelines
• Automate data acquisition and loading (data ingestion)
• Implement data validation and robust error handling mechanisms

Requirements

• Commercial Data Engineering experience (Mid/Senior)
• Hands-on AWS cloud services knowledge
• Hands-on Snowflake data warehousing knowledge
• Documented experience with ETL/ELT and data ingestion automation
• Proven experience with data quality validation and error handling
• English at C1 level for smooth communication (speaking and writing)
• Fluent Polish
• Availability for full-time work starting around December for 3–5 months

Benefits

• Full-time engagement for 3–5 months with a start around December
• 100% remote work
• Work in English with a UK client team