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Data Engineer at Younity – Auckland | Jobyssey

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Data Engineer

Younity · Auckland · 1 month ago

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Work mode: Hybrid
Category: Data engineering

ai airflow analytics azure azure-devops ci-cd cloud data-engineering data-quality data-warehousing dbt devops dimensional-modeling elt

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stakeholder-management

We’re looking for an experienced Data Engineer to help design, build and maintain scalable data platforms and pipelines that support analytics, AI and business reporting.
Working closely with analysts, AI engineers, platform teams and business stakeholders, you’ll ensure data is accurate, secure, trusted and readily available for decision-making.

What you’ll be doing

Designing and maintaining scalable ETL/ELT pipelines
Ingesting and transforming data from multiple enterprise systems
Developing data models and modern cloud-based data warehouses
Building solutions using Snowflake, dbt, Python, SQL and Azure
Automating data processing and orchestration workflows
Implementing data-quality controls, monitoring and governance standards
Improving platform performance, scalability and cost efficiency
Translating business requirements into practical technical solutions
Supporting self-service analytics, reporting and AI initiatives

What we’re looking for

At least three years’ commercial data engineering experience
Advanced SQL and strong Python development skills
Hands-on experience with Snowflake and dbt
Experience with Azure cloud services
Strong knowledge of ETL/ELT development and data warehousing
Understanding of dimensional modelling and patterns such as Kimball or Medallion
Experience with Airflow or a similar orchestration tool
Familiarity with CI/CD, Git and Azure DevOps
Strong problem-solving, communication and stakeholder-management skills

This is an excellent opportunity for a collaborative and quality-focused Data Engineer who enjoys working with modern data technologies and delivering solutions that make a genuine business impact.