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Heartland Bank Australia

Data Engineer - BAU

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

About the Job

Requirements

  • 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.
  • Experience working with data integration, transformation, and orchestration tools.
  • Knowledge of data modelling, data governance, and data quality principles.
  • Understanding of DevOps, continuous integration/continuous delivery (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.
  • A collaborative approach and desire to continually improve processes and platforms.
  • Must be eligible to work in New Zealand.

Responsibilities

  • Support and maintain production data pipelines and ETL/ELT processes.
  • Monitor, troubleshoot, and resolve data issues within agreed service levels.
  • Manage business-as-usual data engineering activities to ensure high availability, data integrity, and platform performance.
  • Develop and enhance data integration solutions across multiple systems and platforms.
  • Work closely with data analysts, data scientists, business intelligence developers, and business stakeholders to deliver trusted data solutions.
  • Optimize data models, data processing performance, and storage efficiency.
  • Support regulatory, risk, finance, and operational reporting requirements through high-quality data delivery.
  • Implement robust testing, monitoring, and data quality controls.
  • Contribute to data platform enhancements, automation initiatives, and continuous improvement opportunities.
  • Maintain technical documentation, operational procedures, and support processes.
  • Participate in incident management, root cause analysis, and problem resolution activities.
  • Support cloud-based data platform initiatives and future-state architecture improvements.

Desired Qualifications

  • Experience within banking, financial services, or a regulated environment.
  • Knowledge of Azure cloud services.
  • Experience with Python, Spark, or data automation frameworks.
  • Exposure to Power BI or enterprise reporting environments.
  • Experience working with large-scale customer and transactional datasets.

About the Company

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