AI Data Engineer

PB Technologies; Howick; On-site; NZD 110,000 - 170,000; Full time

Benefits offered by this job

On-site car park

Health insurance after 1 year

Learning & development

Job summary

PB Tech, New Zealand's leading technology retailer, is hiring an AI Data Engineer for the East Tamaki head office. The role is a full-time onsite position, five days a week, collaborating across Finance, Operations, Supply Chain, Ecommerce, Sales and Technology teams.

You will design and maintain robust data platforms, deliver high-quality reporting and analytics, and drive AI initiatives to improve business processes.

Qualifications

• Minimum 3 years' experience in Data Engineering, Analytics Engineering, BI, or related field.
• Strong SQL skills and experience with large-scale datasets.
• Experience with data modelling and data integration principles.
• Experience delivering reporting/analytics with Power BI.

Responsibilities

• Design, develop, and optimise SQL Server and MySQL databases for performance, availability, and security.
• Build and maintain scalable ETL/ELT pipelines across ecommerce, ERP, finance and operations.
• Develop data models to support reporting, analytics, and AI initiatives.
• Maintain data quality through validation, cleansing, reconciliation and governance.
• Integrate data from APIs and cloud services.
• Design and develop Power BI dashboards for actionable insights.
• Collaborate with stakeholders to understand requirements and deliver data-driven solutions.
• Support improvements to reporting frameworks and data management; identify AI/ automation opportunities.

Skills

Advanced SQL

ETL/ELT pipelines

Power BI

Data modelling

Data integration

Stakeholder engagement

Tools

SQL Server

MySQL

Job description

Jora New Zealand will close on 9th September 2026. Thank you for being with us, we are cheering you on as you continue your career journey.

PB Tech is New Zealand's leading specialist technology retailer and one of the country's fastest-growing technology businesses. Since 1993, we have built our reputation on delivering innovative technology solutions, exceptional customer experiences, and industry-leading expertise.

As our business continues to scale, data, automation and artificial intelligence are becoming increasingly important drivers of operational excellence and business performance. We are seeking an experienced AI Data Engineer to join our team and play a key role in shaping the next generation of data and AI capabilities across the organisation.

Based at our Head Office in East Tamaki, this is a full-time onsite position working closely with stakeholders across Finance, Operations, Supply Chain, Ecommerce, Sales and Technology teams.

Please note this is a full-time, five-days-per-week onsite role based in East Tamaki.

This role combines modern data engineering with practical AI and automation initiatives. You will be responsible for designing and maintaining robust data platforms, delivering high-quality reporting and analytics solutions, and identifying opportunities to leverage AI technologies to improve business processes and decision-making.

We are looking for a technically strong data professional who is passionate about building scalable data solutions and translating emerging AI technologies into real business outcomes.

Key Responsibilities

Design, develop, administer, and optimise SQL Server and MySQL databases to ensure performance, availability, and security.

Build and maintain scalable ETL/ELT pipelines across ecommerce, ERP, finance, and operational systems.

Develop and optimise data models that support enterprise reporting, analytics, and AI initiatives.

Maintain high standards of data quality through validation, cleansing, reconciliation, and governance processes.

Integrate data from APIs, cloud services, and third-party platforms.

Design and develop Power BI dashboards and analytical solutions that provide actionable business insights.

Partner with business stakeholders to understand requirements and deliver data-driven solutions.

Support continuous improvement of reporting frameworks and data management practices.
Identify opportunities to apply Artificial Intelligence, automation, and advanced analytics across the business.

Support the development and implementation of AI-powered solutions, including Generative AI and Large Language Model (LLM) use cases.

Evaluate emerging AI technologies and contribute to the organisation's AI strategy and adoption roadmap.

Collaborate with technical and business teams to deliver automation solutions that improve operational efficiency and decision-making.

What You'll Bring

Minimum 3 years' experience in Data Engineering, Analytics Engineering, Business Intelligence, or a related field.

Advanced SQL skills and experience working with large-scale datasets.

Strong understanding of database design, data modelling, and data integration principles.

Proven experience designing, implementing, and supporting ETL/ELT solutions.

Experience delivering reporting and analytics solutions using Power BI.

Strong problem-solving and analytical skills.

Excellent communication and stakeholder engagement skills.

Standard working days are Monday to Friday, with occasional work required outside of regular hours. (Flexibility is offered to accommodate these needs. However, availability on Mondays is essential).

Highly Regarded

MySQL expertise.

Python development and automation scripting.

Experience with retail, ecommerce, ERP, finance, logistics, or supply chain data environments.

Exposure to AI, machine learning, Generative AI, LLM technologies, or intelligent automation solutions.

Experience delivering AI-driven business solutions from concept through to implementation.

Why Join Us?

Access to New Zealand’s most comprehensive range of tech products, along with exclusive staff discounts.

Opportunities to grow your career within a people first, future-focused organisation where innovation is encouraged and your contributions drive meaningful progress.

Southern Cross health insurance coverage (available after one year of continuous employment).

Ongoing learning and development programs, complemented by strong support and mentorship from management.

On-site car park.

If you are passionate about data engineering, artificial intelligence, automation, and helping businesses unlock the value of their data, we would love to hear from you.