Senior Data Engineer

Evolve Recruitment Group; Auckland; Hybrid; NZD 140,000 - 200,000; Full time

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

Jora New Zealand will close on 9th September 2026. Thank you for being with us, we are cheering you on as you continue your career journey.

Evolve Recruitment Group – Auckland, North Island

• Auckland Central, hybrid working with 2 days in the office
• Senior level role in a modern cloud data & AI environment
• Competitive salary plus standout benefits package

• Auckland Central, hybrid working with 2 days in the office
• Senior level role in a modern cloud data & AI environment
• Competitive salary plus standout benefits package

About the Company

This organisation is a well-established, digitally driven business operating at scale across New Zealand and Australia. Known for its strong data culture, the company is investing heavily in advanced analytics and AI to support smarter decision-making and better customer outcomes.

You’ll be joining a high-performing, collaborative technology team where innovation is encouraged, ideas are valued, and data plays a central role in shaping the future.

Why this role matters

This is a senior, hands-on data engineering role with real influence. You’ll help accelerate the organisation’s data and AI roadmap by designing scalable, reliable data foundations that support advanced analytics, reporting, and emerging AI use cases.

Your work will directly enable data scientists, analysts, and business stakeholders to move faster and make better decisions.
What you’ll lead & influence

• 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 and machine-learning use cases by preparing high-quality, well-structured data
• Work closely with analytics and data science teams to support self-service reporting and insights
• Champion data engineering best practices, performance optimisation and data quality standards

What you bring

• 4+ years’ experience in Data Engineering or a closely related role
• Proficiency with Python and SQL
• Experience with cloud data warehouses (Snowflake or similar)
• Exposure to Sigma and/or Snowflake Cortex is a significant plus
• Comfortable working in a fast-paced environment where priorities evolve
• Strong communication skills and a collaborative mindset

Why you’ll love working here

• Auckland Central location with hybrid working
• Competitive salary aligned to senior-level experience
• 3.5% KiwiSaver employer contribution
• Wellbeing One health insurance
• $1,000 annual training budget to support continuous learning
• 3 additional leave days on top of base entitlement
• Modern data stack and the opportunity to work on meaningful, forward-looking projects

What next? All applications are confidential.

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