Senior Data Engineer – Snowflake & Data Platform Lead

C4 Engineering Pty Ltd.

South Australia

In loco

AUD 120.000 - 180.000

Tempo pieno

2 giorni fa
Candidati tra i primi

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Descrizione del lavoro

Copper SA is seeking a Senior Data Engineer to own MineDrive data pipelines and products, shaping operational planning and execution by unifying planning, scheduling and execution data across source systems.

You will work with Snowflake, dbt, Python and SQL, building auditable pipelines, defining data contracts and governance, and collaborating with product, operations and cloud teams to deliver reliable insights for planning and decisions.

Competenze

  • 5+ years as a Data Engineer with ownership of production data solutions.

Mansioni

  • Own MineDrive data pipelines and products using Snowflake, dbt, Apache Airflow/Astronomer and Python.
  • Define canonical operational models, data contracts, lineage, quality controls and ownership across source systems.
  • Build incremental, replayable, auditable and reproducible data products for application, optimisation and AI services.
  • Manage reconciliation, schema evolution, historisation, source‑system change and access governance pragmatically.
  • Choose appropriate batch or event‑driven patterns based on latency, reliability and operational needs.
  • Review designs and pull requests; optimise Snowflake performance, reliability and cost; and implement monitoring and error handling.
  • Support incidents, drive corrective actions and contribute reusable capabilities to the CuInsights data platform.
  • Work with operational and product stakeholders to ensure data models reflect real planning concepts, decisions and workflows.

Conoscenze

Snowflake
dbt
Python
SQL
Airflow
Data modelling
Data contracts
Reproducible pipelines
Git workflows
CI/CD
Stakeholder collaboration

Strumenti

Airflow/Astronomer

Descrizione del lavoro

Copper SA is seeking a Senior Data Engineer to own MineDrive data pipelines and products, shaping operational planning and execution by unifying planning, scheduling and execution data across source systems.

You will work with Snowflake, dbt, Python and SQL, building auditable pipelines, defining data contracts and governance, and collaborating with product, operations and cloud teams to deliver reliable insights for planning and decisions.

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