Job Description
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
Looking for:
- 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.
If you're interested (or know someone who might be), please apply immediately.
About Hunter Bond