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Heartland Bank Australia

Data Engineer - Projects

Data EngineeringConfirmed live in the last 24 hours
Full-timeNewmarket, Auckland, New ZealandNo salary listedIn-person

About the Job

Requirements

  • Proven experience delivering production data engineering solutions, including project delivery, controlled releases and stakeholder engagement.
  • Strong hands-on experience with Snowflake and SQL, including performance optimization and cost-conscious design.
  • Experience developing and supporting dbt in production, including models, testing, documentation, lineage and deployment practices.
  • Experience building and operating ingestion and orchestration solutions; Azure Data Factory is preferred.
  • Experience applying dimensional modeling and/or Data Vault 2.0 concepts to meet business requirements.
  • Experience delivering governed semantic-layer solutions; AtScale or similar technologies are preferred.
  • Experience working in regulated industries where data accuracy, governance and traceability are critical.
  • Advanced SQL and data transformation skills.
  • Ability to design maintainable, performant and operationally supportable solutions.
  • Ability to navigate ambiguity and translate business needs into practical technical solutions.
  • Analytical and problem-solving capability.
  • Ability to communicate effectively with technical and non-technical stakeholders.
  • Experience following disciplined engineering practices, including Git/GitHub, code reviews, testing and documentation.
  • Ability to manage competing priorities while maintaining delivery quality and transparency.
  • Must be eligible to work in New Zealand.

Responsibilities

  • Build and deliver data engineering solutions and scalable data products supporting regulatory reporting, finance analytics, platform migrations and business transformation initiatives.
  • Work on strategic data projects across New Zealand and Australia.
  • Influence solution design and work with stakeholders across the business.
  • Help establish data engineering standards and engineering practices.

Desired Qualifications

  • Experience using Azure Data Factory for ingestion and orchestration solutions.
  • Experience with AtScale or similar technologies for governed semantic-layer solutions.

About the Company

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