Senior Data Engineer - Build Trusted Data Pipelines

New Zealand Police

Wellington

On-site

NZD 112,000 - 118,000

Full time

3 days ago
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Job summary

New Zealand Police in Wellington seeks a Senior / Data Engineer to shape and deliver data and analytics capability across the organisation. You will design, develop and maintain scalable data solutions, integrate data assets, and ensure data governance and reliability for strategic decisions.

The role involves working with stakeholders, adopting best practices, and delivering high-quality data products. Some travel may be required; salary via collective agreement.

Qualifications

  • Demonstrated experience as a Data Engineer or similar role.
  • Experience building ETL/ELT pipelines and data products.
  • Service-oriented mindset; able to influence at senior level.
  • Experience working in an agile environment.
  • Excellent written and oral communication; engage with all levels.
  • Experience building relationships with stakeholders.
  • Based in Wellington; willing to travel.
  • Tertiary qualification in a relevant field.

Responsibilities

  • Design and build reliable data workflows for large datasets.
  • Deliver high standards of service to stakeholders.
  • Demonstrate proactive customer service and service delivery.
  • Collaborate with team to achieve goals.
  • Communicate effectively with people, partners, community.
  • Use critical thinking to make sound decisions.
  • Manage time, priorities and responsibilities.

Skills

Data Engineer
ETL/ELT
Agile
Stakeholder engagement
Communication skills

Education

Tertiary qualification in a relevant field

Tools

MS SQL
SAS
Command line scripting
Business Objects
R
Python
ArcGIS
Fabric
Azure
Databricks
AWS
GCP

Job description

New Zealand Police in Wellington seeks a Senior / Data Engineer to shape and deliver data and analytics capability across the organisation. You will design, develop and maintain scalable data solutions, integrate data assets, and ensure data governance and reliability for strategic decisions.

The role involves working with stakeholders, adopting best practices, and delivering high-quality data products. Some travel may be required; salary via collective agreement.

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