Lead Data Engineer (Databricks)

Randstad

Wellington

On-site

NZD 140,000 - 190,000

Full time

44 hours ago
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Job summary

Randstad in Wellington seeks a Lead Data Engineer to shape the technical vision and architecture of a next-generation data platform. You will blend hands-on engineering with architectural guidance to deliver scalable cloud data services that underpin critical decision-making across the public sector.

As a technical lead, you will drive cloud-native best practices across Azure, Databricks, and containerized environments, while mentoring an Agile team of data engineers and collaborating with

Qualifications

  • Experience building enterprise cloud data platforms at scale.
  • Deep expertise in Azure Databricks, Spark, Delta Lake, and Terraform.
  • Strong knowledge of cloud-native architecture, containerization (AKS, Docker), and security integrations.
  • Experience with data governance tools and compliance frameworks.
  • Mentored engineers and led agile technical delivery.
  • Excellent communication to translate cloud data strategies.

Responsibilities

  • Lead technical design and delivery of Azure data services, Databricks, and streaming solutions.
  • Champion DevOps, IaC (Terraform, Azure DevOps), CI/CD pipelines, and observability.
  • Provide technical mentorship and hands-on guidance to uplift data engineering capability.
  • Partner with architects and stakeholders to align platform features with organizational goals.
  • Evolve platform architecture to support secure data sharing, analytics, and governance.
  • Drive technical governance, platform standardisation, and cloud-first delivery practices.

Skills

Cloud data platforms
Azure Databricks
Apache Spark
Delta Lake
Terraform (IaC)
AKS
Docker
Security integrations
Data governance tools
Mentoring engineers
Agile delivery
Communication skills

Education

Bachelor Degree

Tools

Terraform (IaC)
Azure DevOps
AKS
Docker

Job description

  • Technical Lead, Building scalable enterprise Data Platforms, Data governance/Metadata
  • Azure Databricks, Terraform (IaC), Data Platform, Delta Lake, CI/CD, Docker/AKS
  • Wellington , Fixed Term till June 2027 (potential extension for a multi-year program)
ABOUT THE ROLE

We are seeking a Lead Data Engineer (Azure & Databricks) to shape the technical vision and architecture of a next-generation enterprise data platform. In this position, you will guide the design and delivery of scalable, secure, and cost-effective cloud data services that underpin critical decision-making across the public sector.

As a technical lead, you will blend hands‑on engineering with strategic architectural guidance. You will drive cloud‑native best practices across Azure, Databricks, and containerised environments, while mentoring an Agile team of data engineers. Partnering closely with architects and business stakeholders, you will ensure the platform evolves to meet modern data governance, analytics, and integration standards.

KEY RESPONSIBILITIES
  • Lead technical design and delivery of Azure data services, Databricks, and streaming solutions.
  • Champion DevOps, IaC (Terraform, Azure DevOps), CI/CD pipelines, and proactive observability.
  • Provide technical mentorship and hands‑on guidance to uplift data engineering capability.
  • Partner with architects and stakeholders to align platform features with organisational goals.
  • Evolve platform architecture to support secure data sharing, analytics, and governance.
  • Drive technical governance, platform standardisation, and cloud‑first delivery practices.
SKILLS & EXPERIENCE
  • Proven experience designing and delivering enterprise cloud data platforms at scale.
  • Deep expertise in Azure Databricks, Apache Spark, Delta Lake, and Terraform (IaC).
  • Strong knowledge of cloud-native architecture, containerization (AKS, Docker), and security integrations.
  • Experience with modern data governance tools and compliance frameworks.
  • Proven background mentoring engineers and leading technical delivery within Agile environments.
  • Excellent communication skills to translate cloud data strategies to varied audiences.

*Please note, we can only consider applicants that are legally entitled to work in New Zealand at the time of application.

At Randstad, we are passionate about providing equal employment opportunities and embracing diversity to the benefit of all. We actively encourage applications from any background.

experience

5 years

skills

Experienced Cloud Data Engineer / Platform Architect (Azure & Databricks)

qualifications
  • Bachelor Degree
education

Bachelor Degree

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