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Data Engineer

Auckland, Auckland, New Zealand

Live, first seen by us 28 days ago
Pay
Pay not listed
Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

Before you apply

Work authorization
Must already have the right to work in New ZealandApplicants must be based in New Zealand and hold current NZ work rights (citizenship, residency, or valid work visa)

What you’ll work on

Full posting

As a Data Engineer, you'll lead the design, development, and optimisation of data products and infrastructure across the organisation.

This role offers a balance of technical, hands-on engineering, and strategic contribution, making it ideal for someone who enjoys both building and influencing.

  • Design, develop and maintain scalable data pipelines and data products

  • Lead implementation and optimisation of modern data architectures and platforms

  • Ensure data is reliable, secure, accessible and fit for business use

  • Translate stakeholder requirements into technical solutions

  • Support and mentor junior Data Engineers

From the employer’s posting
As a Data Engineer, you'll lead the design, development, and optimisation of data products and infrastructure across the organisation. You'll work closely with stakeholders, analysts, and our digital solutions team to deliver reliable, scalable, and high-performing data solutions that enable better decision-making and business performance.
This role offers a balance of technical, hands-on engineering, and strategic contribution, making it ideal for someone who enjoys both building and influencing.
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

What you’ll bring

All qualifications

Core experience

  • Strong expertise in building and maintaining modern data platforms and data pipelines
  • Experience mentoring or providing technical guidance to other engineers would be highly regarded
  • 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
Qualification wording
Strong expertise in building and maintaining modern data platforms and data pipelines
Experience mentoring or providing technical guidance to other engineers would be highly regarded
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
Apply at Waste Management

Posting record

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Status in our records
Live
First seen by us
Oct 8, 202628 days ago
Recorded sightings
39
Last seen by us
Nov 5, 2026
Reposted
once since Sep 2, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.

How this job compares

Time since we first saw it

Day 28

Similar jobs usually come down between day 6 and day 54.

From 11,035 similar postings that came down. Coming down is not always a hire.

Waste Management is hiring

1 open job

Open jobs by the week we first saw them, last 12 weeks.

  • 100% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • SQL
  • Databricks
  • dbt
  • Snowflake
Where the posting names them
- 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

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About Waste Management

People
About 60,500 in 2025, down 2% from the year before.Annual report (SEC Form 10-K)
Company
Listed as WM.

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 839, the most 1,314, and the latest week had 1,086.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Job Description

As our data landscape continues to evolve, we're looking for a Data Engineer to play a key role in designing, building, and optimising the data products and platforms that underpin our business.

This is an exciting opportunity for someone who enjoys solving complex problems, building scalable data solutions, and influencing how data is used across a large, operational organisation.

About the role

As a Data Engineer, you'll lead the design, development, and optimisation of data products and infrastructure across the organisation. You'll work closely with stakeholders, analysts, and our digital solutions team to deliver reliable, scalable, and high-performing data solutions that enable better decision-making and business performance.

This role offers a balance of technical, hands-on engineering, and strategic contribution, making it ideal for someone who enjoys both building and influencing.

What you'll be responsible for

  • 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

Qualifications

About you

You're a passionate and experienced Data Engineer who thrives on creating scalable solutions. You enjoy partnering with stakeholders, solving complex challenges, and helping organisations unlock the value of their data.

You'll bring:

  • 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

Additional Information

Why join WM New Zealand? 

  • Opportunity to work on meaningful projects that deliver real business impact
  • Ongoing learning, development, and career progression opportunities
  • Flexible working arrangements that support work-life balance
  • Onsite café and parking for everyday convenience

At WM, we invest in our people - because they are our greatest asset.

Ready to make an impact?

If you're excited about building modern data solutions and want to be part of a team shaping the future of data at WM New Zealand, we'd love to hear from you.

Apply today. Applications will be reviewed as they are received, so we encourage early applications.

WM New Zealand is an equal opportunity employer committed to maintaining a safe and drug and alcohol-free workplace.

Applicants must be based in New Zealand and hold current NZ work rights (citizenship, residency, or valid work visa).

Company Description

At WM New Zealand, we're more than New Zealand's leading resource recovery, recycling, and waste management company. We're helping create a more sustainable future by leveraging technology, data, and innovation to drive meaningful business outcomes.

Source details

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Location & working pattern

Auckland, Auckland, New Zealand

WM New Zealand is an equal opportunity employer committed to maintaining a safe and drug and alcohol-free workplace. Applicants must be based in New Zealand and hold current NZ work rights (citizenship, residency, or valid work visa). Company Description
Work authorization
WM New Zealand is an equal opportunity employer committed to maintaining a safe and drug and alcohol-free workplace. Applicants must be based in New Zealand and hold current NZ work rights (citizenship, residency, or valid work visa). Company Description

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