Senior Data Engineer - 8 month contractor

Summary

The Senior Data Engineer will design and maintain data workflows using the Hadoop stack, Spark, and Airflow while mentoring team members within a banking environment. This 8-month contract role focuses on secure data engineering practices, CI/CD, and infrastructure automation.

About us

At Westpac New Zealand, our purpose is to Help New Zealanders Succeed. As a Bank and one of New Zealand's leading employers, we are passionate about helping people. We are taking action today to create a better future for the people who bank with us, work with us, invest in us or are part of our broader communities.

Mō te tūranga | About the Role

The Senior Data Engineer not only provides expert domain knowledge and expertise in the area they are working in, but as a senior member of the squad, provides mentorship and guidance to others. They operate with greater scope within the service group, wider technology business unit and with business stakeholders to ensure high levels of Service Delivery are maintained and an overarching focus on risk and compliance is always front of mind in the squad.

Communication, negotiation, collaboration and teamwork, and partnership/relationship building skills are key to achieving desired outcomes in this role. In particular to enable the delivery of great innovative banking products that continue to enhance our customers’ experience.


Nā tāu rourou | What will you bring?

  • Good at the Hadoop stack, particularly HDFS and Spark.

  • Experience orchestrating data workflows with Airflow.

  • 5+ years of experience in data engineering, platform engineering, or a related technical discipline.

  • Solid understanding of CDC patterns and data streaming patterns.

  • Awareness of secure software development practices for handling sensitive data

  • Experience with Terraform, CI/CD pipelines and containerisation.

  • Demonstrated ability to assess new technologies, review vendor solutions, and recommend improvements to existing engineering approaches.

  • Proven capability in diagnosing and resolving complex technical issues throughout the application lifecycle.

  • Strong understanding of quality assurance, testing frameworks, and continuous improvement.

  • Tertiary qualifications in Computer Science, Information Systems, Engineering, or related discipline, with relevant technical certifications preferred.

  • Demonstrated ability to mentor, support and grow engineers.

  • Comfortable in Agile delivery and modern DevOps practices.

See also

Data Engineering jobs by country — openings, pay and top skills →

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