Data Engineer

Upper Echelon NZ; Auckland; On-site; NZD 90,000 - 140,000; Full time

Job summary

Upper Echelon NZ is seeking talented Data Engineers across New Zealand who are passionate about building scalable data solutions and turning complex data into meaningful business insights.

The opportunity involves designing and developing data pipelines, modern data platforms, improving data quality, and supporting data warehousing and analytics initiatives. Strong SQL, Python, and cloud experience are valued, along with familiarity with Snowflake, Databricks, dbt, and data modelling.

Qualifications

• Experience designing, building and maintaining data pipelines and data solutions.
• Strong SQL and Python or other programming languages.
• Exposure to cloud platforms such as AWS, Azure or GCP.
• Experience with modern data platforms and tools such as Snowflake, Databricks, dbt or similar technologies.
• An understanding of data modelling, data integration and data quality.
• A problem-solving mindset and the ability to work collaboratively with technical and non-technical stakeholders.

Responsibilities

• Design, build and maintain scalable data pipelines.
• Collaborate with stakeholders to translate business needs into data solutions.
• Support data warehousing and analytics initiatives.

Skills

SQL

Python

Cloud platforms

Snowflake

Databricks

dbt

Data modelling

Data quality

Stakeholder communication

Tools

Snowflake

Databricks

dbt

Job description

Are you a Data Engineer looking for your next opportunity? I'm keen to connect with talented Data Engineers across New Zealand who are passionate about building scalable data solutions and turning complex data into meaningful business insights.

The Opportunity

I'm working with businesses looking to strengthen their data capabilities and am keen to connect with Data Engineers across a range of levels and backgrounds. Opportunities may involve designing and developing data pipelines, building modern data platforms, improving data quality, and supporting data warehousing and analytics initiatives.

What You'll Bring

• Experience designing, building and maintaining data pipelines and data solutions.
• Strong SQL and experience with Python or other relevant programming languages.
• Exposure to cloud platforms such as AWS, Azure or GCP.
• Experience with modern data platforms and tools such as Snowflake, Databricks, dbt or similar technologies.
• An understanding of data modelling, data integration and data quality.
• A problem-solving mindset and the ability to work collaboratively with technical and non-technical stakeholders.