Intermediate Data Engineer

The role:
Data Pipeline Development and Optimisation
Build, maintain, and optimise robust, production-grade data pipelines using Snowflake and modern orchestration tools.
Implement data transformations, ingestion, and integration across multiple sources (CRM, WFM, Telephony, Digital).
Builds production-grade pipelines with orchestration
Apply Snowflake best practices for warehouse design, schema structuring, and performance tuning.
Automation and Orchestration
Integrate Cortex Agents or similar automation tools to streamline data workflows.
Implement and maintain ETL/ELT orchestration using tools such as Airflow or dbt.
Implements automated workflows and test.
Implements data tests and monitoring
Automate repeatable processes to enhance reliability and scalability.
Data Quality, Lineage, and Governance
Apply data quality checks, lineage tracing, and validation rules to ensure data accuracy and consistency.
Document data processes, pipelines, an...