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Unison Group New Zealand

Technical Manager/ Data Project Manager (Lead Data engineer)

Unison Group New Zealand
Singapore
8-10 Years
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Job Description

  • Lead and manage large-scale Data Engineering and Data Modernization projects.
  • Drive end-to-end delivery of Data Lake build and migration initiatives.
  • Lead PySpark migration and optimization projects, ensuring performance and scalability.
  • Design and implement modern data architectures, including Data Lakes, Data Warehouses, and Lakehouse solutions.
  • Collaborate with business stakeholders, architects, and engineering teams to define data strategies and roadmaps.
  • Provide technical leadership and mentorship to Data Engineers and Developers.
  • Ensure best practices around:
  • Data governance
  • Data quality
  • Security and compliance
  • Performance optimization
  • Lead data platform modernization initiatives across cloud environments.
  • Review solution designs, architecture documents, and implementation approaches.
  • Manage project planning, resource allocation, risks, and delivery timelines.
  • Drive Agile delivery and ensure successful project execution

Requirements

  • 8+ years of experience in Data Engineering and Data Platform delivery.
  • Minimum 3+ years of experience in a Technical Manager or Lead role.
  • Proven experience in delivering:
    • Data Lake implementation projects
    • Data Lake migration programs
    • PySpark migration projects
    • Large-scale data transformation initiatives

Technical Skills

  • Strong expertise in:
    • Python
    • PySpark
    • Spark SQL
    • SQL
    • ETL/ELT frameworks
  • Experience with:
    • Hadoop ecosystem
    • Data Lakes and Lakehouse architectures
    • Distributed data processing frameworks
  • Strong understanding of:
    • Data modeling
    • Data integration patterns
    • Batch and real-time processing
  • Experience with cloud platforms such as:
    • AWS
    • Azure
    • GCP
  • Hands-on experience with:
    • Data migration strategies
    • Performance tuning and optimisation
    • CI/CD and DevOps practices for data platforms

Must Have

  • Hands-on experience in managing Data projects end-to-end — effort estimation, scoping, project plan, timelines, team allocation, stakeholder management
  • Hands-on experience with modern Data technologies like PySpark, SQL, CML, Python on any cloud; preferred GCP
  • Transform business requirements into Data solutions, manage risks, issues and dependencies

Good To Have

More Info

Job Type:
Permanent Job
Industry:
Other
Function:
Data Engineering
Employment Type:
Full time

Job ID: 151121229

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Last Updated: 12-07-2026 07:18:02 PM
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