Senior Data Engineer - Databricks- Contract

Accentuate Consulting

Auckland

Hybrid

NZD 140,000 - 200,000

Full time

3 days ago
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Job summary

Accentuate Consulting in Auckland is seeking a hands-on Contract Senior Data Engineer to deliver complex data engineering initiatives. You will work within a high-trust, hybrid on-site team delivering modern data platforms for major NZ/ Australian clients.

The role focuses on designing scalable pipelines, governance, and data architectures, with a track record of optimizing performance in multi-project environments.

Qualifications

  • 10+ years of hands-on data engineering experience.
  • Databricks Certified Data Engineer Professional.
  • Proficient in ETL tooling with Azure Data Factory.
  • Extensive experience with data lake, data warehouse and Lakehouse architectures.
  • Experience in Manufacturing, Utilities and Logistics industries.

Responsibilities

  • Shape customer data platforms and turn strategy into robust delivery.
  • Design and optimise pipelines and architectures across enterprise ecosystems.
  • Champion security and governance, driving quality across data models.
  • Identify and push automation and efficiency improvements within an agile delivery framework.

Skills

Databricks
ETL pipelines
Automation

Tools

Azure Data Factory
Data Lake
Data Warehouse
Lakehouse

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.

Accentuate Consulting – Auckland, North Island


A high growth technology consulting firm with a reputation for delivery excellence looking for a Contract Senior Data Engineer to join an exciting, complex client engagement.

This role requires some days on site with the client in Auckland, within a hybrid, high trust culture, embedded in an award winning consulting team delivering complex legacy modernisation and custom software projects for major New Zealand and Australian enterprise clients.

This is a hands on Contract Senior Data Engineer role. It is not a people management position.You'll need to hit the ground running, bringing deep Databricks technical expertise and the judgement to make the right data and engineering calls in a fast moving, multi project environment.

The Role
You'll work closely with data, analytics, and architecture teams to shape customer data platforms and turn strategy into robust, scalable delivery. That means designing and optimising pipelines and architectures across enterprise ecosystems, championing security and governance, and driving consistency and quality across data models.

You'll also bring a sharp eye for inefficiency, spotting where automation, accuracy improvements, or architectural changes can make a real difference, and pushing those improvements through within an agile delivery framework.

What You'll Need
10+ years of hands on data engineering experience, including:

  • Databricks Certified Data Engineer Professional certification
  • Deep expertise with ETL tooling such as Azure Data Factory
  • Extensive experience across data lake, data warehouse, and Lakehouse patterns
  • Complex Data Engineering experience in complex Manufacturing, Utilities and Logistics industries
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