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Remote, popular data-engineer role with broad Snowflake/dbt skills attracts many qualified applicants.
Core data engineering skills are transferable, though iGaming/crypto domain knowledge is beneficial.
Explicit 7+ years and mandatory Snowflake/dbt/AWS/Python skills create strict screening filters.
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Lead optimisation and modernisation of Snowflake data warehouses and pipelines focusing on performance, cost, and security.
Build and maintain scalable ELT/ETL pipelines using tools like dbt, Airflow, Fivetran, AWS DMS, contributing to the shift towards real-time data processing.
Collaborate with cross-functional teams and leverage AI tools to improve documentation, testing, and development workflows.
7+ years of experience in Data Engineering.
Expertise in AWS, Snowflake optimisation, ELT design, and dbt (including macros and testing).
Proficient in SQL, Python, CI/CD, and Git.
Experience using AI coding assistants to improve work efficiency.
Senior data engineer with deep expertise in modern data platform environments using Snowflake, dbt, and AWS.
Able to drive data platform roadmap delivery and collaborate closely with data science, product, and operations teams.
Experience working in fast-paced, product-driven environments with a focus on AI-enhanced development and real-time data processing.