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Analytics Engineer

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Onsite

Analytics Engineer

Engage Recruitment Support

Analytics Engineer

Skills

SQL QueriesData EngineeringPythonMicrosoft SQL ServerSnowflakeData AnalysisPower BIAzure

3 days ago

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Important information


Contract type:

Permanent

Location:

New Zealand

Work mode:

Onsite

Published on:

19 October 2026

What they need


About DataCraft

DataCraft Analytics provides specialist services in data science and analytics. We deliver our own services and develop our own products.

A large proportion of our work is in the health sector, where our software, platforms and services support Primary Health Organisations and General Practices across New Zealand. We also work with government agencies, NGOs and academic institutions.

We're proud of the work we do, helping organisations make better use of their data to inform decisions and improve the services they provide.

About the role

We're looking for an experienced Analytics Engineer to join our team, based in either Wellington or Whanganui.

This is a hands-on technical role working with complex datasets, managing and maintaining data pipelines and warehouses, and turning data into useful information for our customers.

You'll work across the Microsoft Azure stack, primarily using Snowflake, Azure SQL Database, Microsoft SQL Server and T-SQL, alongside other analytics tools and technologies.

Your work will include:

  • Managing, maintaining and improving data pipelines and warehouse processes
  • Using SQL to extract, transform and structure large, complex datasets
  • Automating data ingestion, cleaning and transformation
  • Investigating data quality issues and ensuring information is accurate and reliable
  • Working with analysts and software engineers to develop data and reporting solutions
  • Working directly with clients to understand their information needs and communicate results

About you

Previous or current health sector experience is essential for this role. We'd be particularly interested in hearing from people who have worked with primary care health information, Primary Health Organisations or general practice data.

You'll bring:

  • At least three years' commercial experience in data engineering, data analysis or a similar role
  • Strong Microsoft SQL Server T-SQL skills, including data manipulation and stored procedures
  • Experience working with relational databases, data ingestion, transformation and reporting
  • Strong analytical and problem-solving skills, with excellent attention to detail
  • The ability to communicate clearly and work confidently with clients and colleagues
  • A practical, curious approach to learning and working through challenges

Experience with technologies such as Snowflake, Azure SQL, Python, Power BI, DAX or Power Query would also be valuable.

You'll enjoy getting into the detail, questioning results and working through problems. You'll be comfortable taking initiative, while also knowing when to ask questions or draw on the experience of others.

Why join DataCraft?

This is an opportunity to put your technical skills to good use, working with a small, experienced team on projects that have a positive impact.

We take quality seriously, but we're also practical about how we work. We keep meetings to a minimum and focus on productive output, giving our people more time to concentrate on the technical work they enjoy.

You'll also have the opportunity to contribute ideas and help shape the products and services we deliver.

We offer:

  • Wellness leave
  • Funded flu and COVID vaccinations
  • Public transport and active travel allowances
  • Physical wellbeing and eye-care allowances
  • Modern Wellington CBD offices
  • Sit-stand desks and quality equipment
  • Free espresso coffee, tea, fruit and biscuits
  • Regular team lunches and social events

The position can be based in Wellington or Whanganui. Remote working from outside these locations is not available.

Does this sound like a bit of you?

If you have experience in the health sector and enjoy the technical challenges of working with complex data, we'd love to hear from you.

Please submit your CV and a covering letter outlining your relevant experience and interest in the position.

For a confidential discussion, please contact Martin on [021 959 303](tel:021 959 303).

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