- Building and maintaining dbt transformation models across multiple pipeline layers — from raw ingestion through to governed, consumer-ready datasets

- Writing Snowflake SQL for complex transformations: type casting, deduplication, incremental load logic, surrogate key generation

- Developing and debugging Apache Airflow DAGs on AWS ECS

- Contributing to AWS Lambda-based ingestion( Python) — file validation, control file generation, S3 event handling

- Maintaining source-to-target mapping documentation and aligning models to business requirements and data specs

- Supporting onboarding of downstream consumers via data sharing mechanisms and event-driven notifications

- Participating in code reviews, writing YAML-based data quality tests, and owning tickets from design through to production

Tech stack required
• Robust SQL
• Proficiency with dbt Core & Snowflake
• Apache Iceberg Table format (Nice to have)
• Apache Airflow
• AWS - Working Knowledge of S3, Lambda, MWAA, ECS, Glue Catalogs, Lake Formation, Lambda, SQS, EventBridge
• Experience with fixed-format or structured financial data files
• CICD with Github Actions.

📌 Senior Data Engineer (Sydney)
🏢 DWS
📍 Sydney