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Internship
bachelor degree
Purpose-driven work, Fun start-up culture, Social club, Team bonding events
Posted 13h ago
~40 hrs/week
Responsibilities
You will support the development, testing, and maintenance of client data pipelines while collaborating with the team to build ingestion templates. Additionally, you will write and troubleshoot SQL queries to extract and validate data while automating quality checks.
Requirements
Candidates must hold or be pursuing a tertiary qualification in a relevant field such as computer science, engineering, or mathematics. You must also have basic familiarity with Python, SQL, and cloud environments, and possess legal authorization to work in New Zealand.
Full job description
About The Role:
We are on the hunt for a Summer Intern to join our growing team at Generate Zero as a Data Engineer. Working closely with our Data team to build, maintain and troubleshoot the pipelines that move client data into the Generate Zero Platform.
You’ll learn from experienced engineers as you write for-production pipelines and automation using SQL and Python, work with cloud data platforms, and see how your work supports accurate, audit-ready sustainability reporting for our clients.
This role will initially be a 10-week contract, full time over the summer (dates flexible), however there is potential for the intern position to roll onto part-time work after this period.
You will be responsible for:
Supporting the development, testing and maintenance of client data pipelines
Use a combination of tools and stacks (Azure Storage, Fabric, python, SQL, postgres, SQL Server) to streamline, automate and develop quality assurance, version control and lineage capabilities for our data operations
Writing and troubleshooting SQL queries to extract, transform and validate client data
Helping to load and organise data from a range of sources (files, APIs, databases) into cloud-based data platforms
Working closely with the data team to build out data ingestion templates and new data connectors to improve our client implementation process
Running and automating data quality checks and helping to identify and resolve data issues
Supporting the data-side of client implementations onto our platform
Documenting your work clearly, including data processes, pipeline logic and any issues encountered
Participating in code reviews and taking feedback on board to continuously improve your technical skills
Supporting the wider data team with ad-hoc analysis and data tasks as needed
What you will bring:
A relevant tertiary qualification (or equivalent self-taught or bootcamp experience) in computer science, data, engineering, mathematics or a related field
Some exposure to SQL through study, personal projects, internships or coursework
Basic familiarity with Python or another programming language
Some knowledge of using environments like Azure or AWS for building, storing, or transforming data
Comfortable with handling data in different formats (e.g. json, csv, relational database)
An interest in data transformation, quality control, cloud platforms and how businesses use data to make decisions
A love for collaboration and a willingness to contribute to a supportive, idea-sharing team environment
Why join us?
Work on stuff that truly matters and make a real impact while growing your skills
Work with a purpose-driven organisation with global growth ambitions, dedicated to making a positive impact in the world
Enjoy a fun start-up culture and collaborate with our two sister companies to create a vibrant and supportive work environment
Great opportunity to work in a real-world environment and gain skills from an experienced development and product team
Join an active and engaging social club, with regular events and activities to foster team bonding and build meaningful connections
About Generate Zero:
At Generate Zero we are passionate about a sustainable future, believing that we owe it to future generations to do all we can, while we can.
Our digital tools help organisations move from simply measuring GHG emissions to actively managing them, and by partnering with like-minded organisations, we support their decarbonisation journeys.
At Generate Zero we employ the best, with the skills and experience to meet all our client's sustainability needs. We pride ourselves in the great work we do for our clients and it’s our awesome team who have made it happen.
For more information about what we do at Generate Zero, please visit our website https://generatezero.com/
Please note:
We will be reviewing CVs as they come along and start interviewing so, please apply asap
To be considered for this role, you must be studying, or have recently completed (within 12 months) studies at a New Zealand tertiary education, at NZQA level 6 – 10, with science, technology, engineering, design or business
To be considered for this role, you must also be legally permitted to work in New Zealand
This role is funded through a Callaghan Innovation R&D grant and is offered as a fixed-term, 10-week internship in the first instance
Related keywords
Data EngineerInternshipSQLPythonAzureCloud platformsData pipelinesPostgresSQL ServerAutomationData qualitySustainability reportingAPIJSONCSVData ingestion
No matter where you are in your data journey, we have the solution that's right for you.
Industry
Information Services
Company size
11-50 employees
Founded
2013
Headquarters
Eden Terrace, Auckland
LinkedIn followers
5,670
Total funding
$6K
Data Insight helps New Zealand organisations turn data and AI into real-world impact. Since 2013, we’ve partnered with public and private sector organisations to make sense of complex data, build confidence in decision-making, and unlock opportunities for sustainable growth.
We work with organisations operating in complex, enterprise-scale environments to design, build, and embed modern data capabilities that deliver real business value. Our work spans the full data lifecycle, from data strategy and governance through to cloud data platforms, analytics engineering, AI enablement, and capability uplift.
What sets Data Insight apart is our focus on strong foundations. We help organisations get the basics right, including data quality, architecture, governance, and operating models, so analytics and AI initiatives are scalable, responsible, and sustainable. This reduces risk, improves adoption, and ensures insight can be trusted at every level of the organisation.
Our team combines their technical expertise with practical business understanding. We work closely with leaders, delivery teams, and frontline users to align data initiatives with organisational goals, regulatory obligations, and real-world constraints. Whether supporting enterprise transformation programmes, lifting data and AI literacy, or enabling better decision-making through analytics, we prioritise clarity, collaboration, and outcomes.
Data Insight is trusted by organisations operating in regulated and high-complexity environments who need more than dashboards or tools. We help build the capability, confidence, and culture required to make data work in practice, today and into the future.
Offices: 7 Saint Benedicts St, Eden Terrace, Auckland 1010, NZ · Level 5, 142 Featherston Street, Wellington, Wellington 6011, NZ
Data StrategyData Governance Data AnalyticsArtificial Intelligence (AI)Modern Data PlatformsCloud Data EngineeringData ArchitectureSelf-Service AnalyticsData Visualisation Data Science
How many Engineering jobs are open in Waitematā, New Zealand right now?
There are currently 26 open engineering positions in Waitematā, New Zealand listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Engineering roles in Waitematā, New Zealand?
Companies currently hiring include Kami, Auckland Council, Babbage Consultants Limited, Data Insight, Frequency, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Engineering jobs in Waitematā, New Zealand?
Yes — 12 of the 26 open engineering positions offer remote or hybrid work (0 remote, 12 hybrid).
How do I apply for Engineering jobs in Waitematā, New Zealand?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.