Evidence · Immigration

Immigration: questions, answers and evidence

Read all 797 original answers and the tables behind the findings. The 27 missing answers are from the China comparison on three platforms.

questions
143
captured answers
797
missing responses
27
answers collected
15–20 October 2026

01

Every question, with its answers

Each question was written as a voter would ask it and went to all four assistants. Some were also asked from a town. Open a question to read every answer to it in full.

Showing 20 of 143 questions

02

The tables behind the study

Every figure on the study page comes from these tables. They are CSV files, which open in any spreadsheet.

  • Complete AI answers

    answers.csv

    One complete original answer, with the question, platform, country setting and migrant profile.

    question_id, surface_code, location_ref, result_id, prompt_id, platform, scan_id, collection_panel, question_text, response_text

  • The questions we asked

    question-catalogue.csv

    One question with the migrant profile, wording and purpose.

    question_id, question_version, group_id, case_id, asked_for, output_id, module_ids, category, wording_style, prompt_set, collection_panel, comparison_id, exact_text, distinguishing_facts, stated_facts, tags, status

  • Planned questions, platforms and countries

    execution-assignments.csv

    One question, platform and country we planned to collect an answer from.

    question_id, collection_panel, location_name, location_ref, surface, surface_code

  • The 27 missing answers

    missing-cells.csv

    One expected answer that was not collected.

    question_id, collection_panel, location_name, location_ref, surface, surface_code

  • Locations named for each migrant profile

    location-by-persona.csv

    How often a place was named in the twelve New Zealand answers for each migrant profile.

    persona, place, answers, denominator, wording_styles, wording_count, surface_count

  • Locations named across question wordings

    location-by-wording.csv

    One profile, platform and place, showing which versions of the question led to an answer naming the place.

    persona, surface, place, answers, denominator, wording_styles

  • Locations named by collection country

    location-by-region.csv

    One place and country setting; the China comparison has nine answers on Google AI Mode only.

    region, place, answers, denominator, surfaces

  • Eight countries on Google AI Mode

    location-ai-mode-eight-regions.csv

    One place and country across the same nine questions on Google AI Mode.

    region, place, answers, denominator

  • Matched local and overseas answers

    matched-region-answer-pairs.csv

    A New Zealand answer alongside the same question and platform using another country setting.

    region, surface, persona, question_id, result_id, nz_result_id, same_place_set, jaccard, added_names, omitted_names

  • Topics explicitly raised in the answers

    signals-by-output-platform.csv

    How often selected words and phrases appeared, by topic and platform.

    output, surface, signal, answers, denominator

  • Topics raised for each migrant profile

    signals-by-persona-output.csv

    How often selected words and phrases appeared, by migrant profile and topic.

    output, persona, signal, answers, denominator

  • Website addresses in captured answers

    captured-answer-links.csv

    Web addresses saved in the original answers, with image and file links identified.

    question_id, result_id, prompt_id, surface, surface_code, region, output, persona, wording, panel, words, raw_page, transcript, url, domain, host_class, image_or_asset

  • Extra table: links excluding images and files

    captured-links-by-platform.csv

    One platform across the same 143 New Zealand questions. The table excludes image and file links; the main Sources section counts those links.

    surface, denominator, answers_with_links, answers_with_govt_links

  • Captured answer lengths

    platform-answer-length.csv

    One platform across the same 143 local questions.

    surface, answers, median_words, mean_words

  • Recorded websites by answer

    sources-by-answer.csv

    Each website recorded as a source for an answer, with the page addresses and number of statements linked to the website.

    question_id, result_id, prompt_id, surface, surface_code, region, output, persona, wording, panel, words, raw_page, transcript, domain, publisher, claim_count, source_urls

  • Recorded sources and their original claims

    source-claim-ledger.csv

    Sources attached to individual statements, with the original answer, quotation and source passage.

    narrative_id, claim_id, question_id, result_id, prompt_id, surface, surface_code, region, output, persona, wording, panel, words, raw_page, transcript, domain, url, source_passage, claim_quote, quote_exact

  • Answers with sources and answers with links

    source-answer-coverage.csv

    Each New Zealand answer, showing whether sources were recorded and whether the answer text contains a web link.

    question_id, result_id, prompt_id, surface, surface_code, region, output, persona, wording, panel, words, raw_page, transcript, associated_websites, had_sources, literal_url_answer

  • Website publisher classifications

    source-publisher-classification.csv

    Each website, the type of organisation behind the website and the reason for the category. Unconfirmed types remain Other.

    domain, publisher, basis, source

  • Tone toward each place

    place-sentiment-ledger.csv

    One named place in one answer, with the positive, neutral, negative or mixed label, supporting passages and reason. All 108 New Zealand answers about where to live were reviewed.

    result_id, question_id, prompt_id, persona, assistant, region, place, stance, paragraph_numbers, supporting_passages, display_passage, reason, answer_sha256, reviewed_on

  • Facts supplied in each question

    prompt-reporting-eligibility.csv

    Every question, with corrected descriptions of the facts stated and limits on interpreting its answers.

    question_id, reviewed_on, prompt_sha256, original_stated_facts, corrected_stated_facts, metadata_changed, destination_explicit, descriptive_counts_included, interpretation_rule

  • Sources across question styles

    source-wording-incidence.csv

    One website, profile, topic and platform, with answer totals, question styles and the original answer references.

    persona, output, surface, domain, answers_with_source, eligible_answers, wording_styles_with_source, eligible_wording_styles, observed_styles, eligible_styles, answer_ids, by_style

  • Questions with corrected fact descriptions

    question-catalogue-reviewed.csv

    The unchanged original question text with fact descriptions reviewed on 28 October 2026.

    question_id, question_version, group_id, case_id, asked_for, output_id, module_ids, category, wording_style, prompt_set, collection_panel, comparison_id, exact_text, distinguishing_facts, stated_facts, tags, status

  • Statements checked against official sources

    statement-checks.csv

    One checked statement, with its exact passage, verdict, official source, review date and original answer reference.

    check_id, measure_id, question_checked, result_id, prompt_id, question_id, persona, assistant, wording, exact_statement, verdict, what_the_source_says, source_name, source_url, checked_on, answer_sha256

  • Policy questions covered by the checks

    statement-measures.csv

    One policy question, showing checked statements, original answers and the question wordings represented.

    measure_id, question_checked, checked_statements, distinct_answers, wording_styles_with_checked_assertions, wording_styles, answer_ids, question_ids, scope

Use the question and answer numbers to follow the evidence between tables. Locations named in warnings and comparisons count. Sources attached to an answer and web links in the answer text are counted separately.

03

The reviewed evidence

We read all 108 New Zealand answers about where to live to assess the tone toward each named place. A separate selection of 41 answers explores practical advice and contrasts across topics. The original policy checks were made on 22 October and expanded on 28 October 2026; verdicts cover selected statements, not every answer.

ChatGPT · New Zealand country setting

I've worked in software and data for several years and have relevant qualifications, but no New Zealand job offer. How realistic is it that I could find suitable work, and what could get in the way?

How realistic is finding a software or data job in New Zealand without a job offer?

Yes, it is realistic, but your chances depend heavily on your specialisation, the depth of your experience, your work rights, and how flexible you are about the roles you pursue. Having several years of relevant experience and recognised qualifications puts you in a better position than someone trying to enter the industry. However, those advantages do not automatically translate into a job in New Zealand.

I'd distinguish between three separate questions:

  1. Employability: Are your skills in demand among New Zealand employers?
  2. Practical job prospects: Can you secure interviews and compete successfully with people already in the local market?
  3. Immigration feasibility: Can you legally work in New Zealand, or qualify for a visa that allows you to do so, without already having an offer?

The third question can be decisive. A candidate with excellent technical skills and unrestricted New Zealand work rights may be a much easier hire than an equally qualified overseas candidate who needs employer support with immigration.

The good news is that software and data experience can be transferable across borders. The challenge is finding employers whose needs match your skills and who are willing and able to hire you under your particular circumstances.

1. What your prospects look like

I'd assess your prospects across three broad scenarios. These are qualitative assessments, not statistical probabilities.

Your situation My assessment Why
Several years of strong software engineering experience, plus unrestricted NZ work rights Reasonably promising You can compete for roles without employers needing to solve an immigration problem.
Strong software or data experience, but you need an employer to sponsor a work visa Realistic, but more difficult You need to find an employer who wants your particular skills enough to navigate the visa process.
General data analysis or junior-to-mid-level development experience, with no NZ work rights More challenging You may face competition from local applicants and fewer employers willing to recruit internationally.
Specialised experience in data engineering, cloud platforms, cybersecurity, or complex enterprise systems Potentially stronger Distinctive technical expertise can make you more attractive than a generalist, depending on current vacancies.

Your qualifications and experience are meaningful advantages, but I wouldn't conclude that finding suitable work will be easy simply because you have both.

Which software and data roles are worth targeting?

The most promising role depends on what you've actually done, rather than how many years you've worked.

  • Software engineering: Backend, full-stack, platform, and enterprise application development may be suitable targets if you have substantial commercial experience.
  • Data engineering: Experience with SQL, Python, data pipelines, cloud data platforms, and production data systems can give you a useful technical profile.
  • Cloud and platform engineering: AWS, Azure, infrastructure automation, and distributed systems can help differentiate you.
  • Analytics engineering and business intelligence: Strong SQL, data modelling, dbt, Power BI, and modern data warehouse experience may open up relevant positions.
  • Data science and machine learning: These can be viable, especially with demonstrable production experience, but you should assess the actual number of suitable vacancies rather than assume demand is high.

These are target areas worth investigating, not a claim that all are currently experiencing shortages in New Zealand.

The New Zealand Ministry of Business, Innovation and Employment has published occupational projections identifying business and systems analysts, and programmers, as a group with projected employment growth. However, those projections are not a measure of how easy it is to find a job today. They should not be treated as a guarantee of vacancies for any particular speciality. MBIE employment outlook.

My recommendation: Target roles where you can demonstrate that you've solved difficult, commercially important problems, rather than applying indiscriminately to every position containing the words software, data, or AI.


2. The biggest obstacle: not having a New Zealand job offer

This is the most important issue to investigate before committing to a move.

New Zealand has several visa routes, and the right one depends on your citizenship, qualifications, occupation, and circumstances.

The Accredited Employer Work Visa

The Accredited Employer Work Visa (AEWV) is an important route for overseas professionals seeking employment in New Zealand.

However, you generally need a full-time job offer from an accredited employer to apply for this visa. The employer must also meet the relevant job-check requirements. The visa is not a general permission to move to New Zealand and look for work. Immigration New Zealand: AEWV requirements.

This creates a practical difficulty:

  • You need an employer willing to hire you.
  • The employer needs to be comfortable with your skills and experience.
  • The employer must meet the applicable immigration requirements.
  • You must meet the requirements for the visa and the specific position.

Some employers will consider overseas candidates. Others will prefer applicants who can start immediately and already have permission to work in New Zealand.

That doesn't mean sponsorship is impossible. It means that your application needs to make a compelling case for hiring you.

You can improve your prospects by identifying accredited employers and prioritising organisations whose vacancies closely match your experience.

Can you move to New Zealand without a job offer?

Potentially, yes. Some visa categories allow people to work without first securing a job offer, while others do not. Whether you qualify depends on your personal circumstances.

For example, a working holiday visa may be an option for eligible citizens within the applicable age limits. Other visa categories may suit people with particular qualifications or circumstances.

However, a visa that lets you enter New Zealand or work temporarily does not necessarily provide a pathway to permanent residence.

The official starting point is Immigration New Zealand's guide to work visas.

Before making a financial commitment, establish which visa categories you qualify for and whether they allow you to work in the roles you're targeting.

What if permanent residence is your goal?

That's a separate question from finding a job.

New Zealand's Skilled Migrant Category and other skilled residence pathways have their own eligibility requirements. Depending on the pathway, you may need qualifying skilled employment or a job offer, alongside other criteria.

Don't assume that having a relevant degree and several years of software or data experience automatically makes you eligible for residence.

If your ultimate objective is to settle permanently, evaluate the employment and residence pathways together rather than treating immigration as something to figure out after you arrive.


3. What else could get in the way?

Even if your skills are good and your immigration options are workable, there are several potential obstacles.

A. Employers may prefer candidates already in New Zealand

Some employers are reluctant to interview overseas applicants because of uncertainty about relocation, work rights, availability, and start dates.

This can create a frustrating cycle: you need a job to make the move easier, but employers may favour people who have already made the move.

What to do: State your location, relocation plans, availability, and work-rights situation clearly on your CV or application. Apply from overseas where appropriate, but explain why you are a credible candidate for that specific role.

Don't imply that you have New Zealand work rights if you don't.

B. Your experience may not match the vacancies closely enough

Several years in software and data is a useful starting point, but employers will want to know what you can deliver.

For example, these two profiles can receive very different responses:

  • A data professional who has primarily created reports and dashboards.
  • A data engineer who has built and maintained production pipelines, managed cloud infrastructure, and improved data reliability.

Both can be qualified professionals, but their target vacancies and competitive advantages differ.

What to do: Focus on the technologies and responsibilities you've used in real production environments. Quantify the results where possible: performance improvements, cost reductions, reliability, processing volumes, or business outcomes.

You don't necessarily need more qualifications. You may need a clearer way of demonstrating the value of your existing experience.

C. The market may be smaller than you're used to

New Zealand has a smaller technology employment market than countries with major international technology hubs.

That matters because:

  • There may be fewer vacancies in a narrowly defined speciality.
  • Employers may use a smaller number of technology stacks.
  • A suitable position may not be available when you start searching.
  • Some employers may offer roles that don't match your desired seniority or compensation.

A smaller market doesn't mean you cannot find work. It does mean you should research actual vacancies rather than assume that broad global demand for technology professionals translates into an equally large local opportunity.

D. Salary expectations may not align with available roles

Your qualifications and years of experience may command different compensation in New Zealand than in your current country.

The relevant comparison is not just salary. Consider the total package, income tax, housing, transport, and the cost of relocating.

I'd avoid accepting a substantial pay reduction solely to get your foot in the door unless you have carefully considered the longer-term benefits.

E. Your qualifications may need verification

Having relevant qualifications is positive, but the treatment of overseas qualifications depends on the qualification itself and the purpose for which it is being used.

Some qualifications may be readily understood by employers. Others may require additional documentation or an assessment for immigration purposes.

Check Immigration New Zealand's guidance on qualifications and work visas before paying for an assessment.

For software and data roles, practical experience can also be important to employers, even when your academic qualifications are strong.


4. How I would approach the job search

I'd recommend a structured search before making a major financial commitment.

Step 1: Establish your work-rights position

Start with the immigration question, not the CV.

Determine whether you:

  • Already have the right to work in New Zealand.
  • Qualify for a visa that allows you to work without an employer-specific offer.
  • Need an accredited employer to offer you a job before you can obtain a work visa.

You can start with the official visa finder.

If you require employer sponsorship, make that a central part of your job-search strategy.

Step 2: Test demand for your exact skill set

Search New Zealand job listings for approximately 20–30 positions that genuinely match your experience.

Useful starting points include:

Look at the actual requirements, not just the job titles.

For each position, record:

  • Required technical skills.
  • Required years and type of experience.
  • Seniority.
  • Salary, where disclosed.
  • Whether New Zealand work rights are required.
  • Whether the employer is open to international applicants.

This will give you a more reliable picture of your prospects than general claims about technology skills shortages.

Step 3: Identify employers worth approaching

If you need a work visa, prioritise employers who are accredited and advertise positions that closely match your background.

You can use Immigration New Zealand's accredited employer information as a starting point.

Focus on employers with a credible reason to hire someone with your experience. For example, if you specialise in cloud data engineering, a role involving the same platforms and architecture is a stronger target than a generic analyst position.

Don't assume that every accredited employer is recruiting or will sponsor every role.

Step 4: Apply selectively and measure the results

I would begin with a focused batch of applications rather than hundreds of generic ones.

Tailor your CV to the local market and the specific position. Emphasise your recent experience, technical achievements, and measurable impact.

Then monitor the response:

  • Few or no interview invitations: Review your CV, job targeting, location, and work-rights situation.
  • Recruiter conversations but no progression: Check whether salary, visa requirements, or relocation timing are causing concerns.
  • Technical interviews but no offers: Work on interview performance and identifying gaps in the specific skills employers are testing.

This approach helps distinguish a difficult market from a positioning problem.

Step 5: Have a financial fallback

If you're planning to relocate before finding work, decide in advance how long you can support yourself without an income.

Include moving costs, temporary accommodation, a rental bond, everyday expenses, and the possibility that your search takes longer than expected.

Also, don't assume you can enter New Zealand on a visitor visa and begin working. Your visa conditions determine whether employment is permitted.

If you can secure a suitable job before moving, that will generally reduce both your financial risk and your uncertainty.


5. So, what are your actual chances?

Based on what you've told me, I'd describe finding suitable work in New Zealand as plausible, but not yet predictable.

Your years of software and data experience and relevant qualifications are encouraging. The missing information is whether your particular specialisation matches available roles and whether you can legally work without first obtaining an employer-supported visa.

I would be cautiously optimistic if you have substantial commercial experience, a clear technical speciality, and a realistic immigration pathway.

I would be more cautious if you need sponsorship, have a generalist profile, or are unwilling to compromise on role type, salary, or employer.

Most importantly, I wouldn't recommend relocating purely on the assumption that your qualifications guarantee employment. Test the market first.

6. Let me narrow this down to your situation

I can give you a much more useful assessment if I know three things.

First, what is your main area of expertise? For example, software engineering, data engineering, data analysis/BI, data science/ML, or a combination.

Second, what is your current immigration situation? Are you a New Zealand or Australian citizen, do you hold a visa that gives you work rights, or would you need to obtain a New Zealand work visa from overseas? You don't need to share your nationality if you'd prefer not to; knowing which situation applies is enough to start.

Third, how many years of relevant experience do you have, and what is your highest qualification? For example, six years of software engineering and a bachelor's degree.

With those details, I can assess your prospects more specifically, identify the most relevant types of roles to target, and explain the main barriers you're likely to face in New Zealand.

Ask anything

ChatGPT can make mistakes. Check important info.

Captured 15–20 October 2026

Gemini · New Zealand country setting

I've worked in software and data for several years and have relevant qualifications, but no New Zealand job offer. How realistic is it that I could find suitable work, and what could get in the way?

Finding suitable work in software and data in New Zealand without a local job offer is moderately realistic if you are mid-to-senior level, but challenging if you are junior.

Your qualifications and experience are strong assets, but landing a role from overseas requires navigating specific market conditions and structural hurdles.


How Realistic Is It?

  • The Good News (High Demand for Seniors): Core software engineering, data engineering, cloud architecture, and machine learning/data science roles are heavily sought after. Many standard tech positions sit on New Zealand's Green List (Tier 1), which allows qualified candidates to access a Straight to Residence visa pathway.
  • The Catch (The Overseas Hiring Friction): Many New Zealand companies default to hiring candidates who are already in the country with valid work rights. Competing from abroad means you are asking an employer to take on visa sponsorship friction (via the Accredited Employer Work Visa, or AEWV scheme) before they have met you face-to-face.
  • Experience Tiers Matter: If you have 5+ years of solid, specialized experience, companies are much more willing to look overseas and sponsor visas. If you are junior or mid-level (under 3–4 years), local employers will typically bypass international applicants due to the ready supply of local or working-holiday talent.

What Could Get in the Way?

Several systemic and market-specific barriers commonly obstruct international tech professionals:

  1. The "Right to Work" Filter:
    Many automated applicant tracking systems (ATS) or local recruiters immediately filter out resumes that require visa sponsorship unless the candidate explicitly notes they are actively pursuing an approved pathway or have high-demand skills.
  2. Employer Accreditation Requirements:
    To hire you on a work visa, a New Zealand company must be an Immigration New Zealand (INZ) Accredited Employer. While most medium-to-large tech firms, banks, and enterprises are accredited, smaller startups or digital agencies might not be willing or able to undergo the bureaucracy.
  3. A Smaller Local Market Scale:
    New Zealand’s tech sector is compact compared to North America, Europe, or major Asian hubs. Total job volume is lower, meaning openings for niche sub-specialties can pop up infrequently. When a role opens, competition among local applicants can be fierce.
  4. Local Cultural Fit and "Kiwi Experience":
    New Zealand corporate culture heavily values collaboration, communication style, and cultural alignment ("fit"). Some hiring managers harbor an unspoken bias toward candidates who understand the local business environment or have Commonwealth/ANZ corporate context.
  5. Relocation Costs and Timelines:
    Moving across the world is expensive. Unless a company is offering a relocation package, the cost falls entirely on you. Furthermore, visa processing times and notice periods can mean an employer has to wait 2 to 4 months for you to arrive, which fast-moving teams sometimes try to avoid.

Strategies to Improve Your Odds

  • Target Green List Roles: Double-check your exact job titles against the INZ Green List. If your background maps to Tier 1 (Straight to Residence), highlight this prominently at the top of your resume and LinkedIn profile. It signals to employers that your long-term immigration is streamlined.
  • Focus on Multinational & Accredited Employers: Target large tech firms (like Xero), major banks (ANZ, BNZ, ASB, Westpac), consultancies (Datacom), and enterprise companies that routinely handle migrant hiring and are AEWV-accredited.
  • Leverage Specialist Tech Recruiters: Reach out directly to reputable New Zealand tech recruitment agencies (such as AbsoluteIT, Potentia, or Hays Technology). They often advise employers on talent shortages and can advocate for offshore candidates with rare skill sets.
  • Optimize Your Location Status: If you are actively planning a move or exploring working holiday options (if eligible by age and nationality) that give you immediate open work rights upon landing, state this clearly—it instantly removes the sponsorship hurdle for jittery employers.

Are you targeting a specific specialization within software or data (e.g., Data Engineering, DevOps, Backend Development), and what is your total years of experience?

Ask Gemini

Gemini is AI and can make mistakes.

Captured 15–20 October 2026

Google AI Mode · New Zealand country setting

I've worked in software and data for several years and have relevant qualifications, but no New Zealand job offer. How realistic is it that I could find suitable work, and what could get in the way?

Finding software and data work in New Zealand from offshore is moderately realistic, but structurally challenging. Having strong qualifications and experience gives you a solid foundation, but the local market conditions and immigration rules introduce notable hurdles.

You can review specific occupation guidelines directly via Immigration New Zealand.


How Realistic Is It?

  • The Good News: High-level ICT roles—specifically software engineers and systems engineers meeting specific high-salary or skill thresholds—feature on New Zealand's Green List, which can offer streamlined pathways to residency.

  • The Reality Check: The local tech market is relatively small, and general economic softening has made employers cautious. Securing an offshore offer requires competing against candidates who are already in the country with valid work rights and local context.


What Could Get in the Way?

  • The Accredited Employer Work Visa (AEWV) system requires New Zealand employers to prove they couldn't find a local worker for the job, unless your specific role pays above double the median wage or sits explicitly on fast-tracked shortage lists. Employers must go through extra compliance steps to hire from overseas.

  • The New Zealand immigration median wage sits at $35.00 per hour ($72,800 annually for a 40-hour week). Many Green List tech roles command specific higher hourly thresholds (often $70.00+/hr for fast-track exemptions), meaning lower-to-mid-level roles face a much steeper visa hurdle.

  • Competing remotely means you are fighting timezone differences and lack a local address or phone number, which some hiring managers filter out by default unless your niche (e.g., specialized data engineering, deep AI/ML infrastructure) is exceptionally rare locally.

  • New Zealand's market heavily values "cultural fit" and local experience or referees, making networking from abroad harder without direct connections in hubs like Auckland or Wellington.

If you'd like to narrow this down, let me know:

  • Your exact primary tech stack or data specialty (e.g., Data Engineer, Analytics, Backend Go/Rust, ML)
  • Your years of total experience
  • Whether you qualify under the higher salary thresholds ($70+/hr)

I can give you a better breakdown of how your specific profile maps to current visa tiers.

Ask anything

Captured 15–20 October 2026

AI Overviews · New Zealand country setting

I've worked in software and data for several years and have relevant qualifications, but no New Zealand job offer. How realistic is it that I could find suitable work, and what could get in the way?

AI Overview

Finding suitable software or data work in New Zealand without a job offer is challenging, but moderately realistic if you have senior-level experience or high-demand niche skills.

The New Zealand tech sector has shown signs of a steady recovery, but overall market confidence remains highly cautious with an elevated unemployment rate making competition for standard positions fierce.


🟢 What Makes it Realistic (The Opportunities)

  • High-Demand Niche Sectors: The market is leaning very heavily into AI design and implementation, data engineering, cloud architecture, and identity/access management (IAM). If your data background leans toward data engineering or deploying AI systems into operations, you will face much less competition.
  • The "Green List" Advantage: Software Engineers and many ICT roles sit on Tier 1 of Immigration New Zealand’s Green List. While you cannot use this pathway without a job offer, it serves as an immense selling point on your CV. You can tell employers that because of your qualifications and the Green List, they can hire you knowing you have a fast-tracked, direct pathway to permanent residency (the Straight to Residence Visa).
  • Shift toward Contracting: There is a notable transition from permanent hiring toward contract work. Companies are willing to bring on skilled professionals for short-to-medium-term projects, which can serve as a foot in the door.

⚠️ What Could Get in the Way (The Barriers)

  • The "No Visa, No Job" Catch-22: This is your biggest hurdle. Many New Zealand employers use applicant tracking systems that automatically filter out candidates who do not already hold valid working rights for the country. Because you need a job offer from an accredited employer to unlock the Green List visa, you have to find employers willing to sponsor you from overseas or wait for you to relocate. The Green List - your pathway to New Zealandinstagram.com
  • The Domestic Talent Surplus: While highly specialized talent is scarce, there is currently an oversupply of local intermediate, junior, and generalist developers. Employers are prioritizing local residents to bypass visa processing delays unless the candidate has an extraordinary skillset.
  • The "Hidden" Job Market: Up to 30% to 50% of New Zealand tech jobs are never formally advertised on major job boards like SEEK. They are filled through internal networks, local recruitment agencies, and word-of-mouth. Job hunting from afar makes it difficult to tap into this network.
  • Salary and Contracting Thresholds: To qualify for the Straight to Residence pathway as a contractor, immigration guidelines dictate very strict hourly rate and experience minimums.

💡 Strategy to Improve Your Chances

  1. Explicitly state your visa path on your CV: Put a section at the very top of your resume stating: "Eligible for Tier 1 Green List / Straight to Residence pathway upon job offer". This alleviates employer fears regarding complex immigration processes.

  2. Target Accredited Employers: Focus your energy entirely on companies already registered as Accredited Employers with Immigration New Zealand, as they are the only ones legally allowed to sponsor your visa. instagram.comThe Green List - your pathway to New Zealand

  3. Engage with Tech Recruiters: Connect directly with NZ-specific tech recruitment agencies (such as Absolute IT or Younity) rather than just blindly clicking "Apply" on job boards. They often manage the unadvertised corporate roles.

To help tailor this advice, what specific data or software stack do you specialize in, and how many years of experience do you have?

Ask anything

Captured 15–20 October 2026