Intermediate Data Engineer

Momentum JobAdder; Auckland; Hybrid; NZD 120,000 - 160,000; Full time

Job summary

Jora New Zealand is seeking a Data Engineer to design, build and optimise data pipelines and platforms. You will work with stakeholders, analysts and the digital solutions team to deliver reliable, scalable data solutions that balance hands-on engineering with strategic influence.

The role requires 2+ years in data engineering, experience with Snowflake and SQL, and a strong grasp of data modelling and governance. Hybrid working in Auckland is available.

Qualifications

• 2+ years in data engineering or similar role.
• Experience with data warehousing and cloud/on‑prem environments.
• Strong SQL and Python skills, plus data modelling knowledge.
• Familiarity with Snowflake, Data Factory, Databricks or dbt is a plus.

Responsibilities

• Design, develop and maintain scalable data pipelines and data products.
• Lead modern data architectures and platform optimisations.
• Ensure data is reliable, secure and accessible for business use.
• Collaborate with stakeholders to translate requirements into solutions.
• Mentor junior Data Engineers and promote best practices.
• Drive governance and improve data engineering standards.

Skills

SQL

Python

Data modelling

Data architecture

ETL/ELT

Data governance

Communication

Mentoring

Tools

Snowflake

Data Factory

Databricks

dbt

Job description

Jora New Zealand will close on 16th September 2026. Thank you for being with us, we are cheering you on as you continue your career journey.

About the Role

You’ll lead the design, development and optimisation of data products and infrastructure across the organisation, working closely with stakeholders, analysts and the digital solutions team to deliver reliable, scalable, high-performing data solutions. It's a role that balances hands-on engineering with strategic contribution, ideal if you enjoy both building and influencing.

Key Responsibilities

• Design, develop and maintain scalable data pipelines and data products
• Lead the implementation and optimisation of modern data architectures and platforms
• Ensure data is reliable, secure, accessible and fit for business use
• Collaborate with stakeholders to translate requirements into technical solutions
• Support and mentor junior Data Engineers
• Drive continuous improvement in data engineering practices, standards and governance
• Work closely with analytics, reporting and AI teams to enable advanced insights
• Monitor and optimise data performance, quality and availability across systems
• Contribute to strategic data initiatives supporting business growth and transformation

What You’ll Need

• At least 2 years' experience with cloud-based and on-premises data warehousing environments
• Hands-on experience with Snowflake plus SQL
• Python experience for data engineering (ETL/ELT, automation, pipeline development)
• Good understanding of data modelling, ETL/ELT processes and data architecture principles
• Experience optimising data performance, quality and governance
• Strong communication skills across technical and non-technical audiences
• Full NZ work rights required
• Mentoring experience highly regarded
• Exposure to dbt, Data Factory or Databricks a bonus

Why This Role

• Genuine mix of hands-on building and strategic influence
• Join a well-established, purpose-led New Zealand organisation
• Hybrid working, Auckland-based