Data Engineer

Victoria University of Wellington; Wellington; On-site; NZD 90,000 - 130,000; Full time

Job summary

Victoria University of Wellington is seeking a Data Engineer to join Te Tai Matihiko - Digital Solutions on a fixed-term basis. You’ll contribute to building our enterprise data and analytics platform as we progressively replace our end-of-life data warehouse with an Azure-based Data Lakehouse.

You’ll help deliver trusted, quality data and contribute to the enterprise data catalogue through metadata, data definitions and lineage information, making institutional data easier to discover,

Qualifications

• Experience designing, building, deploying and maintaining production data solutions.
• Strong SQL skills and experience with Python and PySpark are highly advantageous.
• Sound knowledge of cloud data platforms, data integration and transformation (ETL/ELT), data modelling and data-quality controls.
• Understanding of metadata, lineage and data-governance principles, with experience implementing data catalogue and related governance-support capabilities advantageous.
• Strong analytical, problem-solving and communication skills, with the ability to work effectively with technical and non-technical colleagues.

Responsibilities

• Contribute to the design and build of our new Azure-based Data, Reporting and Analytics platform.
• Develop reliable, reusable data pipelines, transformations, data models and governed data products.
• Contribute metadata, data definitions and lineage information to support the enterprise data catalogue and data governance.
• Apply validation, reconciliation, testing and monitoring practices to identify data-quality issues early and deliver trusted, production-ready data solutions.
• Collaborate with University teams including key stakeholders and our external delivery partner.

Skills

Strong SQL skills

Python

PySpark

Cloud data platforms

Data integration

Data modelling

Data-quality controls

Job description

• Are you passionate about building trusted, high-quality data solutions?
• Can you develop reliable data pipelines using SQL and cloud technologies?
• Do you have experience with data modelling, integration and data governance?

Kōrero mō te tūranga - About the role

Te Herenga Waka - Victoria University of Wellington is looking for a Data Engineer to join Te Tai Matihiko - Digital Solutions on a fixed-term basis. You’ll contribute to building our enterprise data and analytics platform as we progressively replace our end-of-life data warehouse with an Azure-based Data Lakehouse.

You’ll help deliver trusted, quality data and contribute to the enterprise data catalogue through metadata, data definitions and lineage information, making institutional data easier to discover, understand and use for reporting, analytics and evidence-based decision-making.

Key responsibilities:

• Contribute to the design and build of our new Azure-based Data, Reporting and Analytics platform.
• Develop reliable, reusable data pipelines, transformations, data models and governed data products.
• Contribute metadata, data definitions and lineage information to support the enterprise data catalogue and data governance.
• Apply validation, reconciliation, testing and monitoring practices to identify data-quality issues early and deliver trusted, production-ready data solutions.
• Collaborate with University teams including key stakeholders and our external delivery partner.

Ō pūmanawa - About you

You’ll be a collaborative and proactive Data Engineer who values data quality, communicates clearly, exercises sound judgement and follows work through to completion.

Key requirements:

• Experience designing, building, deploying and maintaining production data solutions, including applying data-quality and reliability practices.
• Strong SQL skills and experience with relevant programming, scripting and automation languages. Proficiencies with Python and PySpark are highly advantageous.
• Sound knowledge of cloud data platforms, data integration and transformation (ETL/ELT), data modelling and data-quality controls.
• Understanding of metadata, lineage and data-governance principles, with experience implementing data catalogue and related governance-support capabilities advantageous.
• Strong analytical, problem-solving and communication skills, with the ability to work effectively with technical and non-technical colleagues.

Close date for vacancy: 23 November 2026.

Contact details for vacancy: If you have any questions regarding this role, please get in touch with Bruce Wallace, Resource Manager - Business & Data Analyst ([e-mail]).

We can only consider applicants who are citizens or residents of New Zealand or Australia or on a current working visa. Applications will be reviewed as they are received, and we may progress with suitable applicants prior to the application closing date. Applications from recruitment agencies are not accepted.