Data Engineer / Analytics Engineer

Eoiq

Auckland

On-site

NZD 120,000 - 180,000

Full time

14 days+

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Job summary

Delegat is seeking a Data Engineer / Analytics Engineer to join the Corporate IT team in Auckland. You will design, build and maintain data pipelines, lakehouse objects and semantic models, enabling trusted, self-service analytics across the business.

You’ll leverage Microsoft Fabric, Power BI, and Azure technologies to deliver scalable data solutions, collaborate with stakeholders, and advance data governance and reporting capabilities globally.

Qualifications

  • 3–5+ years in Data Engineer/Analytics Engineer/BI/Reporting role.
  • Strong SQL skills and cloud data platforms.
  • Hands-on with Microsoft Fabric: pipelines, Dataflows, Lakehouse, semantic models.
  • Strong Power BI development and data modelling.
  • Experience translating business requirements into scalable data solutions.
  • Experience monitoring and improving production data environments.
  • Excellent stakeholder management and communication.
  • Continuous improvement mindset and ownership.
  • Experience with Python and/or PySpark advantageous.
  • Power Platform experience (Power Automate) beneficial.
  • Exposure to D365 F&O / Azure / ML AI advantageous.
  • Experience in FMCG/manufacturing environments beneficial.

Responsibilities

  • Design, build and maintain Microsoft Fabric pipelines, Dataflows and data ingestion processes.
  • Develop and support semantic models and Power BI solutions for self-service analytics.
  • Monitor, troubleshoot and optimise Fabric workloads for performance and reliability.
  • Translate business requirements into practical data solutions and insights.
  • Support data governance through metadata management, data quality and lineage.
  • Contribute to process improvements and enhancement of Delegat's data capability.
  • Provide operational support for data/analytics platforms and ensure data accessibility.

Skills

SQL
Cloud platforms
Microsoft Fabric
Power BI
Semantic models
Python/PySpark
Power Platform
Azure
Data governance
Stakeholder mgmt

Tools

Microsoft Fabric
Power BI
Power Automate
Azure
PySpark

Job description

We have an exciting opportunity for a technically minded and commercially aware Data Engineer / Analytics Engineer to join our Corporate IT team, based in our Commercial Bay, Auckland office.

The Data Engineer / Analytics Engineer plays a central role in Delegat's modern data ecosystem, built on Microsoft Fabric's end-to-end analytics platform. You'll design, build and support the data pipelines, lakehouse architecture, semantic models and reporting solutions that transform operational and commercial data into trusted, actionable insights across the business.

This is an opportunity to work with Microsoft's latest data and analytics technologies, helping shape how data is leveraged across a global, market-leading New Zealand company.

We are strong believers in developing and growing our team members and, as a highly engaged team, we have a great culture on offer. Reporting to the Business Intelligence Manager and working closely with colleagues across the business, we'll set you up to succeed. If you enjoy solving complex problems, partnering with stakeholders and delivering scalable data solutions that drive business performance, then read on.

What you'll be doing
  • Design, build and maintain Microsoft Fabric pipelines, Dataflows, Lakehouse objects and data ingestion processes.
  • Develop, maintain and support semantic models and Power BI solutions that enable trusted, self-service analytics.
  • Monitor, troubleshoot and optimise Fabric workloads, improving performance, reliability and scalability across the platform.
  • Work with stakeholders to understand business requirements and translate them into practical data solutions and actionable insights.
  • Support strong data governance practices through documentation, metadata management, data quality controls and data lineage.
  • Contribute to business process improvements and the continuous enhancement of Delegat's data and analytics capability.
  • Provide operational support and technical expertise for assigned data and analytics platforms.
  • Help improve the accessibility, quality and use of data across the organisation.
  • Work equally comfortably on new development and ongoing support, ensuring our data environment remains reliable, well governed and fit for purpose.
What you'll bring
  • 3-5+ years' experience in a Data Engineer, Analytics Engineer, BI Developer, Reporting Analyst or Data Analyst role.
  • Strong SQL skills and experience working with modern cloud-based data platforms.
  • Hands-on experience with Microsoft Fabric, including pipelines, Dataflows, Lakehouse architecture and semantic models.
  • Strong Power BI development and data modelling capabilities.
  • Experience translating business requirements into scalable data and analytics solutions.
  • Experience monitoring, supporting and improving production data environments.
  • Excellent stakeholder management and communication skills, with the ability to work effectively with both technical and non-technical audiences.
  • A continuous improvement mindset, taking ownership of outcomes and adapting based on feedback.
  • Experience with Python and/or PySpark would be advantageous.
  • Experience with Power Platform technologies, including Power Automate and low-code solutions, would be beneficial.
  • Exposure to Dynamics 365 Finance & Operations (D365 F&O), Azure technologies, or ML/AI solutions would be advantageous.
  • Experience in FMCG, manufacturing, sales or distribution environments would be beneficial.
Why join us?

At Delegat, you'll be part of a collaborative and high-performing team that is investing in modern cloud-based data and analytics capabilities. You'll have the opportunity to work with leading Microsoft technologies, partner with stakeholders across the business, and contribute to solutions that drive better decision-making and business outcomes globally. We are committed to developing our people and providing opportunities to learn, grow and make a meaningful impact.

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