Senior Data Engineer - Cloud Data & AI (Hybrid NZ)

Evolve Recruitment Group

Auckland

Hybrid

NZD 140,000 - 200,000

Full time

3 days ago
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Benefits offered by this job

KiwiSaver 3.5% employer contribution
Wellbeing health insurance
Annual training budget
Additional leave days
Hybrid Auckland Central location
Modern data stack projects

Job summary

Join Evolve Recruitment Group in Auckland as a senior data engineer in a modern cloud data and AI environment. You will design scalable data pipelines, implement robust data architectures, and collaborate closely with analytics and data science teams.

You’ll work in a hybrid Auckland Central setup (2 days in the office), mentor juniors, optimize performance, and help accelerate the organisation’s data strategy with high-quality, well-structured data.

Qualifications

  • 4+ years of data engineering experience in a related role.
  • Proficiency with Python and SQL for data ingestion, transformation and analytics.
  • Experience with cloud data warehouses (Snowflake or similar).
  • Exposure to Sigma and/or Snowflake Cortex is a plus.

Responsibilities

  • Design, build and optimise scalable data pipelines and architectures in a cloud environment.
  • Develop high-performance SQL and maintainable Python for ingestion, transformation and analytics.
  • Enable AI/ML use cases by preparing high-quality, well-structured data.
  • Collaborate with analytics and data science teams to support self-service reporting and insights.
  • Champion data engineering best practices, performance optimisation and data quality standards.

Skills

Python
SQL
Data pipelines
Cloud data warehousing

Tools

Snowflake
Sigma
Snowflake Cortex

Job description

Join Evolve Recruitment Group in Auckland as a senior data engineer in a modern cloud data and AI environment. You will design scalable data pipelines, implement robust data architectures, and collaborate closely with analytics and data science teams.

You’ll work in a hybrid Auckland Central setup (2 days in the office), mentor juniors, optimize performance, and help accelerate the organisation’s data strategy with high-quality, well-structured data.

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