Data Engineer: Build Scalable Pipelines & Insights

Waste Management; Auckland; Hybrid; NZD 90,000 - 140,000; Full time

Benefits offered by this job

Flexible work arrangements

Learning & development

Career progression

Job summary

WM New Zealand is seeking a Data Engineer to design, build, and optimise data products and platforms that underpin the business. You will lead data pipelines, collaborate with analysts and the digital solutions team, and deliver reliable, scalable data solutions that empower better decision-making and performance.

The role blends hands-on engineering with strategic contribution, offering opportunities to mentor others and shape data capabilities across the organisation.

Qualifications

• At least 2 years’ experience with cloud and on-premises data warehousing.
• Experience building and maintaining modern data platforms and data pipelines.
• Hands-on with Snowflake, SQL, dbt, Data Factory, Databricks.
• Strong understanding of data modelling, ETL/ELT, and data architecture.
• Experience in data performance, quality, and governance improvements.
• Ability to communicate effectively with technical and non-technical stakeholders.
• Collaborative mindset and continuous improvement.
• Experience mentoring or guiding other engineers is 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

Data pipelines

Data platforms

ETL/ELT

Data modelling

Data governance

Stakeholder communication

Mentoring

Data warehousing

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 the business. You will lead data pipelines, collaborate with analysts and the digital solutions team, and deliver reliable, scalable data solutions that empower better decision-making and performance.

The role blends hands-on engineering with strategic contribution, offering opportunities to mentor others and shape data capabilities across the organisation.