Data Engineer: BAU & Cloud Data Pipelines

Heartland; Auckland; On-site; NZD 110,000 - 150,000; Full time

Benefits offered by this job

Rainbow Tick accreditation

Living Wage accreditation

Inclusive workplace

Job summary

Heartland is seeking a Data Engineer (BAU) to build and maintain data foundations that power decision-making. You’ll manage production data pipelines, ensure data quality, and collaborate with analysts, scientists and BI developers to deliver trusted data solutions.

The role emphasizes BAU delivery, operational excellence and ongoing improvement in a trans-Tasman financial services environment. The ideal candidate has strong SQL, ETL/ELT experience and exposure to Snowflake/Azure data tools,

Qualifications

• Experience in a Data Engineering, Data Warehouse or Analytics Engineering role.
• Strong SQL development skills.
• Experience building and supporting ETL/ELT pipelines.
• Exposure to cloud data platforms such as Snowflake, Azure Synapse, Azure Data Factory, Databricks or similar technologies.
• Knowledge of data modelling, data governance and data quality principles.
• Understanding of DevOps, CI/CD and release management practices.
• Experience supporting production environments and resolving operational issues.
• Strong analytical and problem-solving abilities.
• Excellent stakeholder engagement and communication skills.

Responsibilities

• Maintain production data pipelines and ETL/ELT processes.
• Monitor, troubleshoot and resolve data issues within agreed service levels.
• Manage BAU data engineering activities to ensure high availability, data integrity and platform performance.
• Develop and enhance data integration solutions across multiple systems and platforms.
• Collaborate with Data Analysts, Data Scientists, BI Developers and stakeholders to deliver trusted data solutions.
• Optimise data models, data processing performance and storage efficiency.
• Support regulatory, risk, finance and operational reporting via high-quality data delivery.
• Implement robust testing, monitoring and data quality controls.
• Contribute to data platform enhancements, automation and continuous improvement.
• Maintain technical documentation, procedures and support processes.
• Participate in incident management, root cause analysis and problem resolution.
• Support cloud-based data platform initiatives and future-state architecture improvements.

Skills

SQL development

ETL/ELT pipelines

Cloud data platforms

Data modelling

DevOps & CI/CD

Production support

Analytical problem solving

Stakeholder engagement

Tools

Databricks

Azure Synapse

Snowflake

Azure Data Factory

Job description

Heartland is seeking a Data Engineer (BAU) to build and maintain data foundations that power decision-making. You’ll manage production data pipelines, ensure data quality, and collaborate with analysts, scientists and BI developers to deliver trusted data solutions.

The role emphasizes BAU delivery, operational excellence and ongoing improvement in a trans-Tasman financial services environment. The ideal candidate has strong SQL, ETL/ELT experience and exposure to Snowflake/Azure data tools,