Data Engineer at Westpac New Zealand

Auckland, Auckland, New Zealand -

Full Time

Start Date

Immediate

Expiry Date

02 Sep, 26

Salary

0.0

Posted On

04 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, PySpark, Scala, SQL, Hadoop, Terraform, Apache Airflow, Data Lake Architecture, Snowflake, CI/CD, Unit Testing, Integration Testing, Regression Testing, AWS, Data Pipeline Development, Modular Design Patterns

Industry

Banking

Description

Mō te tūranga | About the Role The purpose of this role is to support Data Platform and AI across service groups and squads by providing data engineering capability that aligns with quarterly planning priorities. The role contributes to solving business and customer problems through effective use of data. Contribute as a key member of the Data Platform and AI Service Group, providing data engineering support across squads and the wider data community. Build, productionise, and maintain data pipelines, predictive models, and customer value calculations. Test, review, and revise code to ensure quality, reliability, and maintainability. Support the use and adoption of platforms, systems, and tools for advanced analytics. Apply data engineering best practices to ensure solutions are explainable, reusable, and scalable. Partner with senior engineers to design solutions and work with stakeholders to deliver value from data. Participate in cross‑functional working groups to share learnings and align with technology standards and frameworks. Provide after‑hours on‑call support once sufficient experience has been gained. Ensure compliance with all internal policies, standards, and regulatory requirements. Nā tāu rourou | What will you bring? At least 3+ years’ experience in software or data engineering within a corporate environment. Strong proficiency in Python for data pipeline development and refactoring Working knowledge of PySpark and Scala for data ingestion and processing Solid SQL skills for source and staging layers; complex transformations not required Exposure to Hadoop ecosystem, including HDFS and open-source data technologies Experience using Terraform is advantageous Hands-on experience with Apache Airflow as an orchestrator for data ingestion and validation Understanding of data lake architectures, including secure and reliable ingestion patterns Familiarity with Snowflake and integration with upstream/downstream systems Strong understanding of modularisation and reusable design patterns, particularly for Airflow DAGs and ingestion jobs Involvement in end‑to‑end CI/CD workflows for Airflow and data platform codebases Strong testing mindset with experience in Unit testing, Integration testing, Regression testing Experience working with cloud platforms, preferrable AWS 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! Tono mai ināianei! | Apply Now! Apply today with your CV and Cover Letter. The people of Aotearoa, New Zealand hail from many cultures and backgrounds. At Westpac New Zealand, we draw on this enormous talent pool to cultivate a team rich in ability and empowered to reach its full potential. Our aim is to be brave challengers, celebrating our differences and relentlessly advocating for our customers. It starts with us – we believe that when we care deeply and do our best for our people, they’ll do their best for our customers. We encourage people from all walks of life to apply, including those who are neurodiverse, have chronic health conditions or disabilities – your attitude and passion are as important to us as your experience, qualifications and capabilities. Mahi tahi tātou, kaha ake tātou | Together Greater Applications close: 8 June 2026 Our culture is rich with stories of how our people like to help, our customers, our community and each other. This is reflected through flexible working arrangements to ensure that our people have a balance in their life with those things that are important to them. Through ensuring that we provide opportunities to everyone regardless of what society throws at them, we are a safe place to work where you are treated equally and appreciated.

Responsibilities

Build, productionise, and maintain data pipelines, predictive models, and customer value calculations to solve business problems. Support the Data Platform and AI Service Group by ensuring solutions are scalable, reusable, and compliant with internal standards.