Fisher & Paykel

DataEngineer

$135–185k ~AI est. Auckland, Auckland, New Zealand FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Data Engineer at Fisher & Paykel. Skills: Data pipelines, SQL queries, Data modelling, Analytics solutions. Design data pipelines. Build data pipelines”

What You'll Achieve.

Enable reliable insights; Enable timely insights; Enable trusted insights; Deliver actionable insights

Industry & Context.

Problems you'll solve

Analytical mindset; Statistical techniques

What They're Looking For.

Must Have

5–10 years’ experience, SQL expertise, Power BI hands-on capability, Microsoft data stack experience, Data modelling experience, Data integration experience, Change Data Capture (CDC) experience, Experience with data from multiple source systems, Analytical mindset, Experience applying statistical techniques

Nice to Have

GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, dbt Certified certification

What You'll Do.

Design data pipelines

Maintain data pipelines

Quality-assure SQL queries

Define data modelling standards

Document data modelling standards

Advocate data modelling standards

Define data quality standards

Document data quality standards

Advocate data quality standards

Define data management standards

Document data management standards

Advocate data management standards

Design reporting solutions

Develop reporting solutions

Deploy reporting solutions

Design analytics solutions

Develop analytics solutions

Deploy analytics solutions

Collaborate with stakeholders

Translate business requirements

Identify improvements

Implement improvements

Enhance platform scalability

How You'll Work.

Team & Collaboration

Business stakeholders; Technical stakeholders; Cross-functional business stakeholders; IT stakeholders

Full Job Description

**The Role** **Fisher & Paykel is an iconic New Zealand brand, a global company with a strong local heritage. Our origins inspire our culture of curiosity and passion to develop solutions designed around people - these are some of the core elements that make us unique.** **We are driven by our values of being trusted, sustainably minded, innovative, generous, and curious. As a team we take a collaborative approach and have a working environment where all ideas are heard, evaluated, and tested against our leading goal - to be the world 's most human-centered appliance brand. We are now entering a bold new chapter in our journey.** **Across Tāmaki Makaurau Auckland, we are creating a world-class three-site campus: our Global HQ in Penrose, Distribution Centre in East Tāmaki, and landmark Global Experience Centre in Grey Lynn. These hubs connect our people and our purpose, forming a centre of excellence for design, innovation and storytelling in Aotearoa.** As a **Data Engineer** , you will be a key member of the Enterprise Data & Analytics team, responsible for designing, building, and maintaining high‑quality data pipelines and platforms across the organisation. Your primary purpose is to enable reliable, timely, and trusted analytical insights that empower the business to make informed decisions on strategy, investment, and operational action. You will work closely with business and technical stakeholders to ensure data is accessible, well‑governed, and optimised to unlock maximum value from our data assets. **Key responsibilities** * Design, build, and maintain scalable and reliable data pipelines, ensuring efficient data retrieval, storage, and distribution across the organisation * Develop, optimise, and quality‑assure complex SQL queries and data transformations to support reporting and advanced analytics needs * Define, document, and advocate data modelling, data quality, and data management standards to maintain data integrity and stakeholder trust * Design, d

Free ATS check

Applying for this Data Engineer role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

How to Apply on Workday

  • Workday has a multi-step form — save your progress after every section.
  • "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
  • Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
  • Job requisition numbers are useful when following up with HR by email.

ANONYMOUS · UNFILTERED

What do employees actually say about Fisher & Paykel?

Real rants from real employees. Read before you apply.

Read Company Rants →