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Intermediate Data Engineer at Momentum JobAdder – Auckland | Jobyssey

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Intermediate Data Engineer

Intermediate Data Engineer

Momentum JobAdder · Auckland, New Zealand · 3 weeks ago

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Work mode: Hybrid
Category: Data engineering
Experience: 2+ years
Visa sponsorship: No

ai analytics automation cloud data-engineering data-modeling data-pipelines data-warehousing databricks dbt

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Lead the design, development and optimisation of data pipelines, warehouses and data products using Snowflake, SQL and Python, partnering with stakeholders, analysts and AI teams. A hybrid, Auckland-based role that mixes hands-on engineering with mentoring juniors and shaping data governance and architecture.

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

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