Fisher & Paykel
DataEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“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.
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
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