About us

Join a high-growth, innovative fintech company with a talented, high-performing team that values collaboration and contribution. At Harmoney, you'll tackle interesting and challenging work that improves our customers' financial lives daily.

We’re reimagining financial services using data, automation and intelligent decisioning to deliver friendly, fair and simple products across New Zealand and Australia.

Why you will love your time at Harmoney

If you enjoy solving complex problems, working with smart people and building systems that create real customer impact, this is the role for you. You’ll have the autonomy to design, build and optimise scalable data solutions while contributing to meaningful business outcomes.

Purpose

As a Data Engineer, you will design, build and maintain robust, scalable data pipelines and models that power reporting, analytics and machine learning across the organisation.

You will play a key role in shaping our data architecture and ensuring our data platform is reliable, performant and future-ready.

What you can expect

You will work across the full data lifecycle - from ingestion and transformation through to modelling and consumption - within a modern cloud-based data environment.

Your responsibilities will include:

• Designing, building and maintaining scalable, production-grade data pipelines

• Developing and optimising complex SQL transformations within Snowflake

• Implementing dimensional data models to support analytics and reporting

• Ensuring data quality through validation frameworks, testing and monitoring

• Improving performance and cost efficiency within the data warehouse

• Supporting near real-time and streaming data use cases

• Enabling high-quality visualisation and reporting outputs in Tableau

• Collaborating with data scientists to productionise machine learning workflows

• Contributing to best practices in data architecture, governance and documentation

You will operate with a high degree of autonomy while collaborating closely with product, risk, marketing and engineering teams to translate business requirements into scalable data solutions.

Our Data Stack

You’ll work with a modern, cloud-native environment including:

• Snowflake

• Python

• Tableau

• Automated machine learning tools (e.g. DataRobot)

• Streaming and event-based data pipelines

To thrive in this role you will:

• Take ownership of technical delivery from design through to deployment

• Be passionate about leveraging data to create customer and business value

• Apply strong analytical thinking to solve complex problems

• Balance speed with engineering discipline and quality

• Communicate technical concepts clearly to non-technical stakeholders

You will bring:

• 2–4+ years’ experience in a Data Engineering role

• Strong SQL skills, including performance optimisation

• Strong experience working with cloud data warehouses (preferably Snowflake)

• Experience building and maintaining production data pipelines

• Experience with data modelling (e.g. dimensional modelling, star schemas)

• Proficiency in Python for data processing and transformation

• Understanding of data quality, governance and monitoring best practices

• Experience working cross-functionally with business stakeholders

• Excellent communication and collaboration skills
  
  

Note: Only candidates who are New Zealand residents or hold a valid work visa are eligible to apply for this role.