A Bit About Smartly, a Datacom Company We exist to make it simpler for Kiwi businesses to look after their people. We’re known as the simple way to sort your payroll for over 20,000 businesses. Our slick software combine…
Skills: SQL, Python, Data Pipeline Development, Data Modeling, Git
Company Description Join us. But be you. At Deloitte, you’ll do more than just join something, you’ll add something. You’ve found a place that values your curiosity, passion, and desire to work alongside brilliant people…
Skills: Test Management, Oracle Cloud, ServiceNow, ERP Transformation, Quality Engineering
Practice Manager Technology Delivery | Wellington | Permanent
Wellington, Wellington, New Zealand · On-site
$164k–$204k/yr
Senior+
Lead and mature a critical enterprise practice with organisation-wide impact Shape delivery capability, governance and workforce strategy at scale Operate as a Portfolio Manager, aligning delivery outcomes with enterpris…
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Senior IT Project Manager | Wellington | 12 Month Fixed Term
Wellington, Wellington, New Zealand · On-site
$164k–$204k/yr
Senior+
Support alignment of solutions with broader platform and organisational direction Lead the delivery of complex, high-impact technology initiatives across MSD’s evolving technology landscape. Multiple 12 month fixed term …
Company Description Join us. But be you. At Deloitte, you’ll do more than just join something, you’ll add something. You’ve found a place that values your curiosity, passion, and desire to work alongside brilliant people…
Company Description Join us. But be you. At Deloitte, you’ll do more than just join something, you’ll add something. You’ve found a place that values your curiosity, passion, and desire to work alongside brilliant people…
SAP Digital Procurement / Source-to-Pay Specialist (SAP Ariba & Coupa)
Wellington, Wellington, New Zealand · Hybrid
SeniorVisa sponsorship
Company Description **This role is to be based onshore in New Zealand preferably in Wellington or Auckland. For the successful applicant we will support with obtaining work visa. Join us. But be you. At Deloitte, you’ll …
Skills: SAP Ariba, Coupa, Source-to-Pay, Digital Procurement, Solution Design
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Full-time
Flexible working, Work from home options, Company-wide culture events, Professional development opportunities
Posted 57d ago
~40 hrs/week
Responsibilities
Build and maintain data pipelines and analytical datasets using SQL and Python to support business decision-making. Collaborate with Data Science and Product teams to ensure data reliability and improve data tooling and observability.
Requirements
Requires 3+ years of experience in data or analytics engineering with strong proficiency in SQL, Python, and version control. Candidates should be familiar with cloud infrastructure, CI/CD practices, and open to using AI-powered development tools.
Full job description
A Bit About Smartly, a Datacom Company
We exist to make it simpler for Kiwi businesses to look after their people. We’re known as the simple way to sort your payroll for over 20,000 businesses. Our slick software combined with our awesome support team help businesses pay their people on time, accurately and in line with legislation. As a fast-growing FinTech expanding into adjacent markets, Smartly offers a fast paced, fun work environment with great opportunities for personal and professional development.
What We’re Looking For
We’re looking for a Data Engineer to help build, maintain, and improve the data pipelines and datasets that power analytics and decision-making at Smartly. You’ll work closely with Data Science, Analytics, Product, and Engineering teams to ensure our data is reliable, well-structured, and easy to use.
This role is ideal for someone who is hands-on, enjoys working with data using SQL and Python, and is comfortable operating within modern software engineering practices. You’ll contribute to the ongoing development of our data platform while continuing to build your skills in cloud-based data systems and engineering best practices.
We actively use AI-powered development tools to help us work faster and smarter. You don’t need to be an expert in these tools already, but you should be comfortable using (or keen to adopt) AI-assisted development tools such as Cursor, GitHub Copilot, or similar to accelerate coding, testing, and problem-solving.
We see AI as a core part of modern data and software engineering, and we value engineers who are curious, pragmatic, and open to evolving how they work.
What Does the Job Involve?
Build, maintain, and enhance data pipelines using SQL and Python to ingest, transform, and serve data from core product systems and third-party sources.
Develop and maintain well-modelled analytical datasets to support reporting, dashboards, experimentation, and data science use cases.
Work closely with analysts and data scientists to understand data requirements and translate them into reliable, reusable data assets.
Monitor data pipelines and datasets, identifying and resolving data quality or reliability issues.
Contribute to data documentation, testing, and basic observability to improve trust and usability of data across the business.
Support the ongoing improvement of Smartly’s data tooling, pipelines, and development practices.
Operate comfortably within a cloud-based environment, with a working understanding of how data systems run in the cloud.
What We’re Looking For
Technical Proficiency
3+ years’ experience in a data engineering, analytics engineering, or similar role.
Strong SQL skills, with experience writing complex and performant queries.
Strong Python skills, particularly for data transformation, automation, and pipeline development.
Experience using Git or similar version control systems in a team environment.
Familiarity with CI/CD practices, including automated testing and deployment workflows.
Working knowledge of cloud infrastructure concepts (e.g. compute, storage, permissions), ideally within a modern cloud platform.
Experience working with relational databases and analytical data stores.
Familiarity with data modelling concepts for analytics (e.g. fact and dimension tables).
Ways of Working
Comfortable working hands-on and owning data tasks end-to-end with appropriate support.
Able to collaborate effectively with analysts, data scientists, and software engineers.
Curious and proactive, with a desire to improve data quality and engineering practices.
Clear communicator, able to explain data issues and solutions to both technical and non-technical stakeholders.
What You’ll Get
Flexible working – opportunity to work from home and offices in Lower Hutt or Auckland CBD.
Awesome company-wide culture – we love a massive morning tea, an epic work party, and the random rolling lunch. We are also passionate about our people and seeing them thrive.
Apply now
Please submit your Cover Letter & CV by clicking the Apply button.
If this sounds like you, please don’t hesitate to apply!
Related keywords
Data EngineeringAnalytics EngineeringSQLPythonGitCI/CDCloud ComputingData ModelingFact TablesDimension TablesCursorGitHub CopilotFinTechData PipelinesObservabilityRelational Databases
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How many Technology jobs are open in Wellington, New Zealand right now?
There are currently 167 open technology positions in Wellington, New Zealand listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Technology roles in Wellington, New Zealand?
Companies currently hiring include Datacom, Deloitte, ACC New Zealand, Ministry of Social Development (MSD), PwC, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Technology jobs in Wellington, New Zealand?
Yes — 127 of the 167 open technology positions offer remote or hybrid work (8 remote, 119 hybrid).
How do I apply for Technology jobs in Wellington, 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.