7 Temporary Work jobs in New Zealand

About the Role

 You’ll be working full-time, leading a team on a variety of sites across the North Island. This is a practical, hands-on role that involves both supervision and physical labour. The role will require extended periods of travel (2-3 week blocks) outside Auckland from time to time.

Key Responsibilities:

 

• Constructing timber, palisade, and concrete retaining walls

• Re-levelling, re-piling, and foundation strengthening

• Reading plans, marking out sites, and estimating materials 

• Operating drills, piling gear, and other machinery 

• Leading small on-site teams and overseeing daily workflow 

• Procuring materials and ensuring site safety 

 

 

 What We’re Looking For

 

We’re after someone with solid on-the-tools experience and leadership ability.

 

You should have:

 

• Minimum 3 years’ experience in retaining/foundation work

• Strong attention to detail and site safety

• Confidence reading plans and supervising crews

• Great communication and time management skills

• A full driver’s licence with WTR endorsements

• LBP (Foundations) preferred but not required

• Willingness to travel and stay away for jobs

 

 

 What’s in it for You?

 

• $30–$40/hr depending on experience + weekly pay

• Consistent, full-time hours with respected contractors

• Variety of sites and travel around the North Island

• Great team culture and hands-on leadership experience

• Opportunities to upskill and grow within the company

 

 

 

 

About Us:

 

 

We are New Zealand’s largest integrated provider of skilled contract labour, delivering specialised talent to the construction sector. With industry-leading experience and a strong commitment to delivering results, we take pride in supporting both our clients and our candidates. We offer tailored recruitment solutions and have built a trusted reputation for connecting quality talent with outstanding roles.

 

 

 

 

What’s Next:

 

Apply now- we're moving fast!

 

Shortlisted applicants will be contacted quickly — so keep your phone handy.

 

Applicants must be legally entitled to work in New Zealand.

Applicants for this position should have NZ residency or a valid NZ work visa.

We are seeking a creative and detail-oriented Work From Home Travel Expert to join our expanding travel team. In this fully remote role, you will collaborate with clients to design personalized travel experiences from start to finish. If you love planning, have a passion for travel, and enjoy crafting memorable journeys, this opportunity is perfect for you!

Key Responsibilities:

• Itinerary Creation: Develop customized travel plans tailored to each client’s preferences, including accommodations, activities, transportation, and dining options.

• Client Engagement: Conduct virtual consultations to understand clients’ travel interests, expectations, and budgets.

• Supplier Collaboration: Partner with trusted travel vendors and tour operators to secure optimal options and pricing for clients.

• Booking Oversight: Manage all travel bookings and confirmations, ensuring accuracy and smooth coordination.

• Customer Support: Provide ongoing assistance throughout the planning process and travel, professionally handling any changes or emergencies.

• Travel Trends: Keep up-to-date with global travel developments, destination updates, and seasonal specials to enhance client recommendations.

• Follow-Up: Check in with clients after their trips to gather feedback and encourage repeat business or referrals.

Qualifications:

• Experience in travel planning, hospitality, or customer service is a plus.

• Strong organizational skills with attention to detail.

• Excellent communication and problem-solving abilities.

• Comfortable using online research and booking tools.

• Self-motivated and able to work independently from home.

• Passionate about travel and helping others explore the world.

What You’ll Get:

• Flexible, remote work schedule.

• Access to leading travel industry tools, vendors, and exclusive perks.

• Travel discounts and professional training opportunities.

• Supportive and collaborative team environment.

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

Collaborate closely with Data Scientists to understand their data requirements, model development needs, and performance optimization goals;

Design, build, and maintain scalable data pipelines and infrastructure to support ML model development and deployment;

Collect, process, and prepare large datasets for analysis, feature engineering, and model training;

Implement data quality checks, validation, and monitoring to ensure the reliability and accuracy of data used in ML models;

Optimize data storage, retrieval, and processing performance for ML workloads;

Develop and maintain ETL (Extract, Transform, Load) processes and workflows;

Manage data versioning, storage, and access control for ML datasets;

Collaborate with DevOps and IT teams to ensure smooth deployment and scaling of ML models in production environments;

Stay up-to-date with emerging technologies, tools, and best practices in data engineering and ML infrastructure.

Must haves 

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

Proven experience as a Data Engineer, preferably in a role supporting Data Scientists;

Strong proficiency in programming languages such as Python, Java, or Scala;

Proficiency with data storage and processing technologies, including SQL databases, NoSQL databases, and distributed computing frameworks (e.g., Hadoop, Spark);

Experience with data warehousing solutions and data integration tools;

Experience with data pipeline and workflow management tools: AWS glue, Airflow, etc;

Knowledge of ML frameworks (e.g., TensorFlow, PyTorch) and ML model deployment;

Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization (e.g., Docker, Kubernetes);

Excellent problem-solving skills and a collaborative mindset;

Excellent oral and written communication skills with a keen sense of customer service.

Nice to haves

Experience in ad/marketing environment

Experience working with Data Lakes

Experience with Scala

Experience with Glue/EMR/Redshift/Airflow

Experience with Terraform.

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

Collaborate closely with Data Scientists to understand their data requirements, model development needs, and performance optimization goals;

Design, build, and maintain scalable data pipelines and infrastructure to support ML model development and deployment;

Collect, process, and prepare large datasets for analysis, feature engineering, and model training;

Implement data quality checks, validation, and monitoring to ensure the reliability and accuracy of data used in ML models;

Optimize data storage, retrieval, and processing performance for ML workloads;

Develop and maintain ETL (Extract, Transform, Load) processes and workflows;

Manage data versioning, storage, and access control for ML datasets;

Collaborate with DevOps and IT teams to ensure smooth deployment and scaling of ML models in production environments;

Stay up-to-date with emerging technologies, tools, and best practices in data engineering and ML infrastructure.

Must haves 

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

Proven experience as a Data Engineer, preferably in a role supporting Data Scientists;

Strong proficiency in programming languages such as Python, Java, or Scala;

Proficiency with data storage and processing technologies, including SQL databases, NoSQL databases, and distributed computing frameworks (e.g., Hadoop, Spark);

Experience with data warehousing solutions and data integration tools;

Experience with data pipeline and workflow management tools: AWS glue, Airflow, etc;

Knowledge of ML frameworks (e.g., TensorFlow, PyTorch) and ML model deployment;

Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization (e.g., Docker, Kubernetes);

Excellent problem-solving skills and a collaborative mindset;

Excellent oral and written communication skills with a keen sense of customer service.

Nice to haves

Experience in ad/marketing environment

Experience working with Data Lakes

Experience with Scala

Experience with Glue/EMR/Redshift/Airflow

Experience with Terraform.

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

Collaborate closely with Data Scientists to understand their data requirements, model development needs, and performance optimization goals;

Design, build, and maintain scalable data pipelines and infrastructure to support ML model development and deployment;

Collect, process, and prepare large datasets for analysis, feature engineering, and model training;

Implement data quality checks, validation, and monitoring to ensure the reliability and accuracy of data used in ML models;

Optimize data storage, retrieval, and processing performance for ML workloads;

Develop and maintain ETL (Extract, Transform, Load) processes and workflows;

Manage data versioning, storage, and access control for ML datasets;

Collaborate with DevOps and IT teams to ensure smooth deployment and scaling of ML models in production environments;

Stay up-to-date with emerging technologies, tools, and best practices in data engineering and ML infrastructure.

Must haves 

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

Proven experience as a Data Engineer, preferably in a role supporting Data Scientists;

Strong proficiency in programming languages such as Python, Java, or Scala;

Proficiency with data storage and processing technologies, including SQL databases, NoSQL databases, and distributed computing frameworks (e.g., Hadoop, Spark);

Experience with data warehousing solutions and data integration tools;

Experience with data pipeline and workflow management tools: AWS glue, Airflow, etc;

Knowledge of ML frameworks (e.g., TensorFlow, PyTorch) and ML model deployment;

Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization (e.g., Docker, Kubernetes);

Excellent problem-solving skills and a collaborative mindset;

Excellent oral and written communication skills with a keen sense of customer service.

Nice to haves

Experience in ad/marketing environment

Experience working with Data Lakes

Experience with Scala

Experience with Glue/EMR/Redshift/Airflow

Experience with Terraform.

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.

Company Overview:

CURB360™ is a fast growing real estate media company! We are actively creating real estate media content in various cities across the United States and as more work gets done, of course, the work also needs to be delivered. We are looking for people who are readily available Monday - Saturday.

Responsibilities:

- Develop and execute a comprehensive content strategy aligned with company goals and target audience preferences.

- Create and manage content calendars, ensuring timely publication across multiple platforms.

- Review incoming emails and promptly respond to those about customer support inquiries.

- Verify the images stored in the folders and cross-reference them with the accompanying notes.

- Send any relevant notes and screenshots to retouchers via email.

- Organize stock images in their respective folders inside our cloud servers.

- Include the top-quality images in the Social Media folders.

- Manage relationships with external vendors, freelancers, and content partners as needed providing excellent customer service.

Qualifications:

- Prior experience in Marketing, Communications, or related fields.

- Proven experience as a Content Manager or similar role.

- Exceptional writing, editing, and proofreading skills with a keen eye for detail.

- Proficiency in content management & photo editing programs (e.g., GoogleDrive, Adobe Creative Suite, Watermarking Software)

- Strong project management skills with the ability to prioritize tasks and meet deadlines in a fast-paced environment.

- Analytical mindset with the ability to interpret data and generate actionable insights.

- Excellent communication and interpersonal skills, with the ability to collaborate effectively across teams.

- Experience with photography, video production, graphic design or multimedia content creation is a plus.