Senior Snowflake Data Engineer

I'm working with a global trading firm looking for a Senior Snowflake Data Engineer to help build and optimise their enterprise data platform.

This role sits just below Architecture level and focuses on hands-on implementation, optimisation, and operation of Snowflake-based data solutions.

Key focus:

• Design and maintain Snowflake data models, schemas, and pipelines
• Build and orchestrate ETL/ELT workflows using Dagster or Airflow
• Develop and manage dbt data models (dimensional and Data Vault)
• Implement Terraform-based infrastructure automation for Snowflake resources
• Integrate secure access using OAuth/OIDC authentication
• Optimise Snowflake performance and cost efficiency
• Ingest and transform data from multiple internal and external systems

• Strong hands-on Snowflake experience (development, optimisation, fundamentals of administration)
• Experience with dbt for modelling, testing, and deployment
• Knowledge of Data Vault 2.0 and dimensional modelling
• Experience with Terraform for infrastructure automation
• Familiarity with Dagster or Airflow orchestration
• Strong SQL and Python (or Java) skills
• Experience working with AWS (S3, IAM)

Must haves: experience with Kafka, Denodo, or financial markets/trading.