We’re looking for a Senior Data Engineer to build and maintain our modern data infrastructure. You’ll work hands-on with Snowflake, dbt, and cloud-based data pipelines, taking ownership of data orchestration, automation, and dashboard development using Plotly Dash.

Key Responsibilities

• Design, build, and optimise data pipelines in Snowflake, including CDC data loading from cloud storage (GCS)
• Develop and maintain dbt models, tests, and documentation
• Build automated deployment and orchestration systems using dbt with CI/CD integration, logging, and monitoring
• Create and maintain Snowflake stored procedures for data orchestration
• Build interactive dashboards and data applications using Plotly Dash
• Troubleshoot and optimise performance for large-scale data operations (COPY INTO, incremental loading, query performance)
• Implement proper error handling, alerting (email/Slack), and observability across pipelines
• Leverage AI coding tools (Cursor, GitHub Copilot, Claude, etc.) to accelerate development and improve code quality

Requirements (Essential):

• 5+ years of experience in data engineering
• Strong proficiency with Snowflake (warehouses, stages, stored procedures, roles/permissions, VARIANT/OBJECT types)
• Solid experience with dbt (models, macros, incremental strategies, CI/CD deployment, orchestration)
• Experience building dashboards with Plotly Dash or similar Python-based frameworks
• Experience with cloud storage integrations (GCS, S3, or Azure Blob)
• Proficiency in SQL and Python
• Familiarity with Git-based workflows and version control
• Comfortable using AI coding assistants to boost productivity
• Strong troubleshooting skills and attention to detail

Nice to Have:

• Experience with workflow automation tools (n8n, Airflow, or similar)
• Understanding of data warehouse design patterns and dimensional modelling
• Experience with API integrations and working with VARIANT/JSON data