Data Engineer – Projects (NZ/AU)

About the role

Heartland is seeking a Data Engineer – Projects to design and deliver modern data platforms that support regulatory reporting, finance analytics and business transformation across New Zealand and Australia. You will work with a cloud‑native stack including Snowflake, dbt, Azure Data Factory, Data Vault 2.0 and AtScale, turning complex business requirements into scalable, reliable data solutions.

Key responsibilities

• Design, build and optimise data pipelines and warehouses on Snowflake.
• Develop, test and maintain dbt models, documentation and lineage.
• Create ingestion and orchestration workflows using Azure Data Factory.
• Apply dimensional modelling and Data Vault 2.0 principles to meet business needs.
• Deliver governed semantic‑layer solutions, preferably with AtScale.
• Collaborate with stakeholders to define requirements and ensure data quality, governance and traceability.
• Participate in solution design, code reviews and release management for production environments.

Required profile

• Proven experience delivering data engineering solutions in production, preferably within regulated financial services.
• Strong analytical mindset with the ability to translate ambiguous business problems into technical designs.
• Excellent communication skills for both technical and non‑technical audiences.
• Commitment to disciplined engineering practices such as version control, testing and documentation.

Required skills

• Snowflake
• SQL (advanced)
• dbt
• Azure Data Factory
• Data Vault 2.0
• AtScale (or similar semantic‑layer tools)
• Git / GitHub