19 Senior Data jobs in New Zealand

Description
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help.
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
We are looking for skilled Server/Network Technicians with a passion for technology to help us expand our data centers to the next level. At Amazon, career progression is part of our environment. We want you to progress, so come and work for the world's most Customer-centric Company.
You will work on installing and troubleshooting the IT infrastructure that supports the AWS cloud. You will work closely with our engineering and logistics teams to maintain daily operations. There is never a dull moment as each day presents itself with different challenges.
Data Center Operations designs, installs & maintains the world's largest Computing Infrastructure. This role is a unique opportunity to work in some of the most cutting-edge data centers in the world. Amazon data centers are large-scale high-density centers where you will be working on changing the face of cloud technology in the region.
Key job responsibilities
- Install and configure racks of hosts in line with internal SLAs
- Diagnose and repair issues for server, storage and network devices, including the physical replacement of parts.
- Remediation or recovery of physical power issues on racks and participate in Data Center power & cooling events.
- Shift work (4 days on and 4 days off including night shifts on a rotational basis).
- This position also has a physical component requiring the ability to lift & rack equipment using our lifting equipment.
- Candidates must possess a valid driver's license and their own vehicle to travel between sites.
About the team
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- 2+ years of computer hardware troubleshooting and repair experience
- 1+ years of computer networking experience
- High school or equivalent diploma
Preferred Qualifications
- Experience dealing effectively with customers during problem resolution and operating efficiently under pressure
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Job Description – Data Collection Specialist

We are seeking a detail-oriented and motivated Data Collection Specialist to join our team in New Zealand. In this role, you will play a key part in gathering, validating, and maintaining accurate information to support business operations, research, and reporting.

Key Responsibilities:

• Collect, organize, and input data from various sources with a high level of accuracy.
• Conduct fieldwork, surveys, and digital data gathering as required.
• Ensure timely reporting and compliance with established data quality standards.
• Collaborate with internal teams to analyze data and identify trends.
• Troubleshoot data discrepancies and maintain up-to-date records.

Skills and Experience:

• Previous experience in data entry, administration, or research is an advantage.
• Strong attention to detail and commitment to data accuracy.
• Excellent organizational and time-management skills.
• Proficiency with Microsoft Office Suite and database systems.
• Ability to work independently as well as in a team environment.

Education Requirements:

• A relevant qualification in business administration, statistics, IT, or a related field is desirable, though not mandatory.
• Training will be provided for motivated candidates with the right attitude and aptitude.

What We Offer:

• Flexible work schedules with options for part-time or full-time employment.
• Competitive pay with opportunities for career growth.
• A supportive team environment with training and development opportunities.
• The chance to contribute to meaningful projects that make a real impact.

Have previous experience in warehousing data entry, administration & Microsoft Excel? We're looking for someone to do data entry in Mangere. $25 p/h.

Lowie is seeking a highly organised and detail-oriented data entry personnel  to join our client working in Mangere for a two-week assignment.

If you have experience in data entry and Microsoft Excel, this could be the role for you. Apply now!

What we offer:

• Immediate start
• Two-week assignment
• $25 per hour, 40 hours a week
• Monday – Friday, 9:30am to 5:30pm
• Supportive team and great company culture

Our consultants go above and beyond to be fair, lead you to success, care for your well-being and prioritise your safety.


Your duties will include, but are not limited to:

• Following H&S guidelines and company procedures
• Preparing and processing documentation, including data in Excel
• Providing admin support to the wider team
  
  

The ideal candidate will have:

• Prior warehousing administration experience.
• High numeracy and admin skills with an eye for detail and accuracy
• Ability to work both independently and in a team
  
  

You will need to be a NZ Citizen, Permanent Resident or on a valid work visa to apply for a position.

Lowie Recruitment can offer you not just a job, but a career.


Lowie Recruitment is an equal opportunity employer. We are members of Diversity Works NZ and the Recruitment & Consulting Services Association (RCSA) of Australia and New Zealand. We are dedicated to providing a service that excels industry standards.

Have previous experience in warehousing data entry, administration & Microsoft Excel? We're looking for someone to do data entry in Mangere. $25 p/h.

Lowie is seeking a highly organised and detail-oriented data entry personnel  to join our client working in Mangere for a two-week assignment.

If you have experience in data entry and Microsoft Excel, this could be the role for you. Apply now!

What we offer:

• Immediate start
• Two-week assignment
• $25 per hour, 40 hours a week
• Monday – Friday, 9:30am to 5:30pm
• Supportive team and great company culture

Our consultants go above and beyond to be fair, lead you to success, care for your well-being and prioritise your safety.


Your duties will include, but are not limited to:

• Following H&S guidelines and company procedures
• Preparing and processing documentation, including data in Excel
• Providing admin support to the wider team
  
  

The ideal candidate will have:

• Prior warehousing administration experience.
• High numeracy and admin skills with an eye for detail and accuracy
• Ability to work both independently and in a team
  
  

You will need to be a NZ Citizen, Permanent Resident or on a valid work visa to apply for a position.

Lowie Recruitment can offer you not just a job, but a career.


Lowie Recruitment is an equal opportunity employer. We are members of Diversity Works NZ and the Recruitment & Consulting Services Association (RCSA) of Australia and New Zealand. We are dedicated to providing a service that excels industry standards.

As a Microsoft Data Center Technician (DCT), you will stage, set up and perform hardware deployments. In addition, you will also perform troubleshooting and diagnostics on equipment, as well as perform hardware decommissions for simple changes and refreshes following Standard Operating Procedures. This opportunity will allow you to deepen your understanding of Data Center standard processes and procedures, develop mentoring skills while providing guidance to peers, familiarizing yourself with security and data management procedures, and accelerate your career growth in the process.
Microsoft's Cloud Operations & Innovation (CO+I) is the engine that powers our cloud services. As a CO+I DCT, you will perform a key role in delivering the core infrastructure and foundational technologies for Microsoft's online services including Bing, Office 365, Xbox, OneDrive, and the Microsoft Azure platform. As a group, CO+I is focused on the personal and professional development of all employees and offers training and growth opportunities including Career Rotation Programs, Diversity & Inclusion training and events, and professional certifications.
Our infrastructure is comprised of a large global portfolio of more than 200 Data Centers in 32 countries and millions of servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide.
With environmental sustainability and optimization at the forefront of our data center design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Interested in learning what it's like to work for Microsoft in this role? Click on the video to review below:
**Responsibilities**
**Responsibilities**
+ Perform diagnostics and troubleshooting following standard procedures, quickly identifies the cause(s) of issues, and replaces faulty components with minimal customer and business disruption.
+ Perform post-execution quality checks and verifies that grounding, staging, labeling, and cabling are set up properly according to safety protocols, deployment standards, and planned Network Design Tasks (NDTs).
+ Decommission hardware for simple changes and refreshes (e.g., memory upgrades, rebuilds) following standard procedures with minimal guidance.
+ Follow procedures to communicate, report, and escalate incidents to appropriate Microsoft data center operations management units, Technician Leads, and engineering specialists.
+ Assist and provide guidance to other technicians to complete challenging or complex tasks.
+ Complete required training aligned to the role and workload; observes more experienced technicians to gain hands-on experience and relevant on-the-job training.
+ Contribute to a positive and effective team environment by sharing information with others, contributing to regular team meetings, asking questions, and staying apprised of the status of others' work.
+ Take pride and a sense of accountability for the service quality, completeness, and resulting user experience; displays accountability and ownership of the data center facilities.
+ Embody Microsoft's culture and values .
**Qualifications**
**Required Qualifications** **:**
+ High school diploma, GED, or equivalent and basic knowledge of computer hardware and components AND 1+ year(s) experience supporting IT equipment or related technology.
+ Ability to work shifts, including shift assignments during non-standard business hours that may include evening, nighttime, weekends, and/or holidays
**Background Check Requirements:**
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:
+ Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
+ **All candidates** **must** **hold either NZ Citizenship and/or a NZ Permanent Residency Visa to be eligible for this role.**
While not required, we also look for the following **_Preferred Qualifications:_**
+ 2+ years' experience supporting IT equipment or related technology.
+ Applicable certifications: CompTIA (A+, Server+, Network+), Basic Structure Cabling (BSC).
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .

AgileEngine is a top-ranking provider of software solutions to Fortune 500, Global 500, and Future 50 companies. Listed on Inc. 5000 among the fastest-growing US companies, we are always open to talented software, UX, and data experts in the Americas, Europe, and Asia.

If you like a challenging environment where you’re working with the best and are encouraged to learn and experiment daily, there’s no better place — guaranteed! :)

What you will do

Develop predictive models to optimize SEO efforts and increase relevant organic sessions to job search;

Formulate hypotheses to improve model accuracy and conduct rigorous testing to validate hypotheses;

Gather and analyze data from various sources to train and refine predictive models;

Communicate findings and recommendations to stakeholders, including engineering teams, to guide decision-making and drive implementation;

Collaborate with engineering teams to integrate predictive models into production environments and monitor performance;

Continuously monitor and evaluate the effectiveness of SEO strategies, making adjustments as needed to maximize impact.

Must haves 

Bachelor’s degree in Computer Science, Statistics, Data Science, or a related field;

3+ years of experience in data science, with a focus on SEO or digital marketing preferred;

Proven track record of developing and implementing predictive models to drive business outcomes;

Strong analytical and problem-solving skills, with the ability to thrive in a fast-paced, collaborative environment;

Statistical modeling, particularly regression;

Python for data analysis, modeling, and automation;

Experience with SQL and data wrangling large datasets with Snowflake or similar;

Familiarity with data tools; ideally Snowpark, otherwise Redshift, Databricks, etc;

Good English and communication skills.

The benefits of joining us

Professional growth

Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.

Competitive compensation

We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.

A selection of exciting projects

Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.

Flextime

Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

AgileEngine is a top-ranking provider of software solutions to Fortune 500, Global 500, and Future 50 companies. Listed on Inc. 5000 among the fastest-growing US companies, we are always open to talented software, UX, and data experts in the Americas, Europe, and Asia.

If you like a challenging environment where you’re working with the best and are encouraged to learn and experiment daily, there’s no better place — guaranteed! :)

What you will do

Develop predictive models to optimize SEO efforts and increase relevant organic sessions to job search;

Formulate hypotheses to improve model accuracy and conduct rigorous testing to validate hypotheses;

Gather and analyze data from various sources to train and refine predictive models;

Communicate findings and recommendations to stakeholders, including engineering teams, to guide decision-making and drive implementation;

Collaborate with engineering teams to integrate predictive models into production environments and monitor performance;

Continuously monitor and evaluate the effectiveness of SEO strategies, making adjustments as needed to maximize impact.

Must haves 

Bachelor’s degree in Computer Science, Statistics, Data Science, or a related field;

3+ years of experience in data science, with a focus on SEO or digital marketing preferred;

Proven track record of developing and implementing predictive models to drive business outcomes;

Strong analytical and problem-solving skills, with the ability to thrive in a fast-paced, collaborative environment;

Statistical modeling, particularly regression;

Python for data analysis, modeling, and automation;

Experience with SQL and data wrangling large datasets with Snowflake or similar;

Familiarity with data tools; ideally Snowpark, otherwise Redshift, Databricks, etc;

Good English and communication skills.

The benefits of joining us

Professional growth

Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.

Competitive compensation

We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.

A selection of exciting projects

Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.

Flextime

Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

AgileEngine is a top-ranking provider of software solutions to Fortune 500, Global 500, and Future 50 companies. Listed on Inc. 5000 among the fastest-growing US companies, we are always open to talented software, UX, and data experts in the Americas, Europe, and Asia.

If you like a challenging environment where you’re working with the best and are encouraged to learn and experiment daily, there’s no better place — guaranteed! :)

What you will do

Develop predictive models to optimize SEO efforts and increase relevant organic sessions to job search;

Formulate hypotheses to improve model accuracy and conduct rigorous testing to validate hypotheses;

Gather and analyze data from various sources to train and refine predictive models;

Communicate findings and recommendations to stakeholders, including engineering teams, to guide decision-making and drive implementation;

Collaborate with engineering teams to integrate predictive models into production environments and monitor performance;

Continuously monitor and evaluate the effectiveness of SEO strategies, making adjustments as needed to maximize impact.

Must haves 

Bachelor’s degree in Computer Science, Statistics, Data Science, or a related field;

3+ years of experience in data science, with a focus on SEO or digital marketing preferred;

Proven track record of developing and implementing predictive models to drive business outcomes;

Strong analytical and problem-solving skills, with the ability to thrive in a fast-paced, collaborative environment;

Statistical modeling, particularly regression;

Python for data analysis, modeling, and automation;

Experience with SQL and data wrangling large datasets with Snowflake or similar;

Familiarity with data tools; ideally Snowpark, otherwise Redshift, Databricks, etc;

Good English and communication skills.

The benefits of joining us

Professional growth

Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.

Competitive compensation

We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.

A selection of exciting projects

Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.

Flextime

Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.