Lead Data Engineer — Azure Data Platforms & AI Collaboration

Beca

Auckland

Hybrid

NZD 130,000 - 180,000

Full time

41 hours ago
Be an early applicant
Application generator

Don’t send a generic resume — generate a resume and cover letter tailored to this exact role.

Get past ATS filters

Job summary

Beca is seeking a Lead Data Engineer to drive enterprise-scale data engineering initiatives. You will lead design and delivery of data pipelines, warehousing, and integration solutions to enable data-driven decisions across business lines and geographies.

You will partner with Data Scientists and AI Engineers, mentor teams, and champion best practices in data governance and security while shaping the data capability across the organisation. This is a permanent role based in Auckland, NZ.

Qualifications

  • Strong background in modern data engineering practices is essential.
  • Experience with Azure pipelines, Microsoft Fabric and SQL Server is required.
  • Exposure to Python, data governance and master data management will be highly regarded.
  • Experience with structured and unstructured data, geospatial datasets and IoT data is advantageous.

Responsibilities

  • Lead the design and implementation of data pipelines and ETL/ELT frameworks.
  • Maintain and optimise cloud-based data platforms and implement data security controls.
  • Enable re-use of enterprise data assets across the organisation.
  • Collaborate with Data Scientists and AI Engineers to operationalise analytics and ML solutions.

Skills

Data engineering
Data pipelines
Data warehousing
Data governance
MDM
Python
Stakeholder collaboration

Tools

Azure pipelines
Microsoft Fabric
SQL Server
Geospatial data handling
IoT data

Job description

Beca is seeking a Lead Data Engineer to drive enterprise-scale data engineering initiatives. You will lead design and delivery of data pipelines, warehousing, and integration solutions to enable data-driven decisions across business lines and geographies.

You will partner with Data Scientists and AI Engineers, mentor teams, and champion best practices in data governance and security while shaping the data capability across the organisation. This is a permanent role based in Auckland, NZ.

Get your free, confidential resume review.
or drag and drop your file here.
Similar jobs

Similar jobs worth comparing

Data Platform Lead: Cloud, Analytics & AI Solutions
Data Platform Lead: Cloud, Analytics & AI Solutions

Beca Group Limited • Auckland

On-site
NZD 140,000 - 190,000
Lead Data Engineer (Azure Databricks) – Platform Architect
Lead Data Engineer (Azure Databricks) – Platform Architect

Randstad Digital New Zealand • Wellington

On-site
NZD 120,000 - 180,000
Lead Databricks Data Engineer - Lakehouse & AI Pipelines
Lead Databricks Data Engineer - Lakehouse & AI Pipelines

Theta (NZ) • Auckland

On-site
NZD 150,000 - 190,000
Hybrid working model
Fully subsidised medical insurance
Parental leave benefits
+3
Senior Data Engineer - Azure Data & BI Lead
Senior Data Engineer - Azure Data & BI Lead

Plunket • New Zealand

On-site
NZD 120,000 - 160,000
Two Well health days
EAP
Fitness Passport
Senior Data Platform Engineer: Azure & AI Pipelines
Senior Data Platform Engineer: Azure & AI Pipelines

Randstad • Spreydon-Cashmere Community

On-site
NZD 121,000 - 158,000
5 weeks annual leave
15 days sick leave
Flexible working arrangements
+2
Lead Data Engineer
Lead Data Engineer

Beca • Auckland

Hybrid
NZD 130,000 - 180,000
Lead Data Engineer
Lead Data Engineer

Beca Group Limited • Auckland

On-site
NZD 140,000 - 190,000
Data Engineering Lead — Build Scalable, AI-Ready Platform
Data Engineering Lead — Build Scalable, AI-Ready Platform

Auror • New Zealand

On-site
NZD 150,000 - 210,000
Employee share scheme
Wellness days
Parental leave
+2
Lead Data Insights & Visualization Leader
Lead Data Insights & Visualization Leader

equifax • New Zealand

Hybrid
NZD 130,000 - 190,000
Lead Data Platform Engineer - Fabric, Azure & Databricks
Lead Data Platform Engineer - Fabric, Azure & Databricks

Younity • New Zealand

Hybrid
NZD 140,000 - 190,000