Data Engineer — Build Scalable Data Platforms & Insights

WM; New Zealand; On-site; NZD 90,000 - 130,000; Full time

Benefits offered by this job

Flexible working arrangements

Job summary

WM New Zealand is seeking a Data Engineer to design, build, and optimise data products and platforms that underpin our business. You will lead the data engineering efforts across a large, operational organisation, balancing hands-on engineering with strategic contribution.

You will work with stakeholders to deliver reliable, scalable data solutions that enable better decision-making and business performance, while mentoring junior engineers and driving governance and best practices.

Qualifications

• At least 2 years’ experience working with both cloud-based and on-premises data warehousing environments.
• Strong expertise in building and maintaining modern data platforms and data pipelines.
• Hands-on experience with technologies such as Snowflake, SQL, dbt, Data Factory, Databricks, or equivalent.
• Strong understanding of data modelling, ETL/ELT processes, and data architecture principles.
• Experience optimising data performance, quality, and governance practices.
• The ability to communicate effectively with both technical and non-technical stakeholders.
• A collaborative mindset and a passion for continuous improvement.
• Experience mentoring or providing technical guidance to other engineers would be highly regarded.

Responsibilities

• Designing, developing, and maintaining scalable data pipelines and data products.
• Leading the implementation and optimisation of modern data architectures and platforms.
• Ensuring data is reliable, secure, accessible, and fit for business use.
• Collaborating with stakeholders to understand requirements and translate them into technical solutions.
• Supporting and mentoring junior Data Engineers and contributing to technical capability across the team.
• Driving continuous improvement in data engineering practices, standards, and governance.
• Working closely with analytics, reporting, and AI teams to enable advanced insights and innovation.
• Monitoring and optimising data performance, quality, and availability across systems.
• Contributing to strategic data initiatives that support business growth and transformation.

Skills

Cloud & data warehousing

Data pipelines & platforms

Stakeholder communication

Mentoring/leadership

Tools

Snowflake

SQL

dbt

Data Factory

Databricks

Job description

WM New Zealand is seeking a Data Engineer to design, build, and optimise data products and platforms that underpin our business. You will lead the data engineering efforts across a large, operational organisation, balancing hands-on engineering with strategic contribution.

You will work with stakeholders to deliver reliable, scalable data solutions that enable better decision-making and business performance, while mentoring junior engineers and driving governance and best practices.