Data Engineer, Projects - Modern Cloud Data Platform

Heartland

Auckland

Presencial

NZD 120.000 - 150.000

Jornada completa

Hace 8 días

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Descripción de la vacante

Heartland is seeking a Data Engineer - Projects to shape and deliver strategic data initiatives across New Zealand and Australia, using Snowflake, dbt, Azure Data Factory, Data Vault 2.0 and AtScale to build scalable data products that support finance analytics, regulatory reporting and platform migrations.

You will influence solution design, work with stakeholders across the business and help establish best-practice data engineering standards in a growing financial services group.

Formación

  • Experience delivering data engineering solutions in production environments.
  • Hands-on with Snowflake and SQL, including performance optimisation.
  • Experience with dbt in production: models, testing, lineage, deployment.
  • Experience building ingestion and orchestration with Azure Data Factory.
  • Knowledge of Data Vault 2.0 concepts.
  • Experience delivering governed semantic layers with AtScale.

Responsabilidades

  • Shape and deliver strategic data initiatives across New Zealand and Australia.
  • Build scalable data products supporting reporting and analytics.
  • Influence solution design and establish best-practice data engineering standards.
  • Collaborate with stakeholders across the business.

Conocimientos

Advanced SQL
Data transformation
Stakeholder communication
Git/GitHub
Problem solving

Herramientas

Snowflake
dbt
Azure Data Factory
Data Vault 2.0
AtScale

Descripción del empleo

Heartland is seeking a Data Engineer - Projects to shape and deliver strategic data initiatives across New Zealand and Australia, using Snowflake, dbt, Azure Data Factory, Data Vault 2.0 and AtScale to build scalable data products that support finance analytics, regulatory reporting and platform migrations.

You will influence solution design, work with stakeholders across the business and help establish best-practice data engineering standards in a growing financial services group.

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