Senior Data Engineer

Westpac New Zealand

Wellington

On-site

NZD 120,000 - 180,000

Full time

17 hours ago
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Benefits offered by this job

4 weeks holiday
Wellbeing leave
Banking benefits
Growth opportunities
Recognition
School holiday subsidy
Volunteer days

Job summary

Westpac New Zealand is seeking a Senior Data Engineer who designs, develops and maintains high quality data solutions with a strong emphasis on Java in the Data Platforms and AI team. You will lead scalable, secure data platforms and collaborate with cross-functional teams to deliver robust pipelines, streaming solutions and APIs.

The role requires hands-on Snowflake, dbt, Python and Spark experience, plus SQL, Airflow and modern data architecture knowledge.

Qualifications

  • Strong hands-on Snowflake experience, including development, optimization and ops.
  • Practical dbt experience for transformation, ELT and analytics engineering.
  • Advanced Python programming for data solutions on cloud platforms.
  • Strong SQL development with query optimization and data transformations.
  • Experience with Apache Spark (PySpark/Spark SQL) for large-scale processing.
  • Proven ability to design and maintain scalable data pipelines.
  • Experience building, scheduling and orchestrating workflows with Airflow.
  • Solid understanding of data warehousing, modeling and modern architecture.
  • Experience delivering cloud data solutions using Snowflake, dbt, Python, SQL and Azure.

Skills

Snowflake
dbt
Python
SQL
Apache Spark
Data pipelines
Airflow
Data warehousing
Azure

Job description

Mō te tūranga | About the Role

The Senior Data Engineer is responsible for designing, developing and maintaining high quality data solutions, with a strong emphasis on Java engineering within the Data Platforms and AI team. This role leads the development of scalable, secure and high performing data platforms, leveraging Java and related technologies to support Westpac New Zealand’s innovative banking products and services. The Senior Data Engineer collaborates with cross functional teams to deliver robust data pipelines, streaming solutions and APIs, ensuring data is managed effectively and supports business decision making. By adopting agile, DevOps and cloud practices, this role drives continuous improvement and contributes to Westpac’s commitment to a customer centric, future focused organisation.

Mō te tūranga | About the Role

The Senior Data Engineer is responsible for designing, developing and maintaining high quality data solutions, with a strong emphasis on Java engineering within the Data Platforms and AI team. This role leads the development of scalable, secure and high performing data platforms, leveraging Java and related technologies to support Westpac New Zealand’s innovative banking products and services. The Senior Data Engineer collaborates with cross functional teams to deliver robust data pipelines, streaming solutions and APIs, ensuring data is managed effectively and supports business decision making. By adopting agile, DevOps and cloud practices, this role drives continuous improvement and contributes to Westpac’s commitment to a customer centric, future focused organisation.

Nā tāu rourou | What will you bring?
  • Strong hands-on experience with Snowflake, including developing, optimising, and operating modern cloud-based data warehouses.
  • Practical experience with dbt (Data Build Tool) for data transformation, ELT development, and analytics engineering.
  • Advanced Python development skills with proven experience building data solutions on modern cloud data platforms.
  • Strong SQL development expertise, including query optimisation, performance tuning, troubleshooting, and complex data transformations.
  • Experience using Apache Spark (PySpark/Spark SQL) for large-scale data processing and distributed computing.
  • Proven experience designing, building, and maintaining scalable and reliable data pipelines.
  • Experience building, scheduling, and orchestrating workflows using Apache Airflow.
  • Strong understanding of data warehousing, data modelling, and modern data architecture principles.
  • Experience developing and delivering cloud-based data solutions using Snowflake, dbt, Python, SQL, and Azure.
Westpac Hei Wāhi Mahi | Working at Westpac

In addition to immersing yourself in a supportive team environment, you'll receive some great job perks and benefits including:

  • 4 weeks standard holiday + 5 additional days of wellbeing leave to support you to be your best
  • Additional purchased leave options up to 4 weeks per year
  • Banking benefits, insurance discounts and superannuation scheme
  • Growth and development – we provide opportunities for development and promote internal mobility
  • Recognition - we recognise and reward our star performers
  • School holiday subsidy - help you balance work and family during school holiday
  • 2 Volunteer days per year
Ko mātou tēnei | Our Organisation

At Westpac, we’re working together to build a fairer and stronger New Zealand for our people, customers, and communities. For over 160 years we’ve been driven by our purpose to "Create Better Futures Together". What makes us unique are the incredible people we’re lucky enough to have walk through our doors every day. The giant ‘W’ on our building doesn’t just stand for Westpac – it says, double you. We’re a place that values, rewards and recognises individuality. Where you can be your whole self, your true self, and your best self. We’re recognised as a place where talent is developed, where passions are fuelled and where ambitions of all shapes and sizes thrive. And it all starts with you!

Applications Close

11 October 2026

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