Power BI Data Engineer — Build Insightful Dashboards

Douglas; Auckland; On-site; NZD 85,000 - 110,000; Full time

Benefits offered by this job

THRIVE wellbeing program

Five weeks annual leave after six-year

Life and income protection insurance

Parental leave top-up 16 weeks

Exclusive employee discounts

Job summary

Douglas is seeking an Associate Data Engineer (Power BI) in Auckland to shape how data informs business decisions. You will develop dashboards, support data pipelines, and improve data quality across the organisation, collaborating with experienced tech professionals and gaining exposure to BI, cloud platforms, and AI initiatives.

Over the next nine months, you’ll build practical experience across the data lifecycle, delivering solutions that empower better decisions across manufacturing,

Qualifications

• Around 2 years' experience developing Power BI reports, dashboards and data models.

Responsibilities

• Develop and maintain engaging Power BI dashboards, reports and data models.
• Build and optimise DAX measures and Power Query (M) transformations.
• Collaborate with stakeholders to translate reporting requirements into intuitive visuals.
• Support Power BI Service: workspaces, apps, gateways, and row-level security.
• Help design, monitor and improve data pipelines for reliable data delivery.
• Integrate data from ERP, CRM, and manufacturing platforms.
• Contribute to data modelling and warehouse optimisation for reporting performance.
• Support data quality initiatives by validating datasets.
• Partner with analysts and business teams to enable self-service reporting.

Skills

Power BI report development

SQL

Python

Cloud data platforms (Fabric/Azure/Snö

Data modelling/ETL/ELT

Stakeholder communication

Tertiary degree in CS/IS/Analytics

Education

Bachelor's degree in Computer Science / Information Systems / Business Analytics or related

Tools

WhereScape

Job description

Douglas is seeking an Associate Data Engineer (Power BI) in Auckland to shape how data informs business decisions. You will develop dashboards, support data pipelines, and improve data quality across the organisation, collaborating with experienced tech professionals and gaining exposure to BI, cloud platforms, and AI initiatives.

Over the next nine months, you’ll build practical experience across the data lifecycle, delivering solutions that empower better decisions across manufacturing,