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Alexander James

Senior Data Engineer

  • Posted Today
  • On Site
  • Full Time
Location

Auckland

Job Description

Our Client:

Our client is a leading consultancy that supports organisations nationwide on Data Insights and Analytics projects, leveraging cutting-edge technologies. This company takes pride in delivering value and offering innovative alternatives.

They are seeking an experienced Senior Data Engineer to design and implement cloud-based data and analytics solutions for their clients. This role blends strategic leadership and hands-on work, partnering with clients and internal teams to deliver data architectures for business intelligence, analytics, and machine learning.

Key Responsibilities:

  • Develop secure, scalable data lakes, warehouses, and analytics platforms aligned with industry standards and client needs.
  • Create logical and physical models to meet evolving business requirements with high-performance, scalable designs.
  • Review existing architectures and recommend improvements in tech stack, data governance, security, and best practices.
  • Lead the design and implementation of secure, compliant cloud-based data platforms.
  • Continuously evaluate and suggest emerging tools and frameworks in cloud data..
  • Required Skills:
  • Proven Data Engineering experience with a focus on cloud platforms.
  • Strong knowledge of data modeling, ETL/ELT processes, and SQL;
  • Practical experience with cloud tools like Snowflake; familiarity with machine learning and AI integration.
  • Understanding of data governance, security, and regulatory compliance in cloud environments.
  • Excellent analytical, problem-solving, communication, and client management skills, with the ability to manage multiple projects and adapt to changing priorities.


How to Apply:

If you are passionate about building modern data architectures and delivering innovative, results-driven solutions, please apply online!

Please note - we are only considering candidates with a short notice period and with full NZ working rights.

Hard Skills Required

  • SQL & Data Governance
  • Data Modeling & ETL/ELT Processes
  • Cloud Data Engineering (AWS, Azure, Snowflake, or GCP)

Soft Skills Required

  • Analytical Thinking
  • Problem-Solving
  • Client Management
  • Communication
  • Adaptability

Job Schedule

  • Shift Work
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