Senior Data Engineer: Lead Scalable Data Platform

SmartRecruiters, Inc.; Kaipātiki; Hybrid; NZD 140,000 - 180,000; Full time

Benefits offered by this job

Birthday off

Free on-site parking

EV charging on-site

Discounts across TWG brands

Job summary

The Warehouse Group (TWG) is seeking a Senior Data Engineer to shape and evolve our enterprise data platform. You will design, build and optimise scalable data solutions for trusted insights across the business.

Based in Auckland, NZ, this hybrid role partners with architects, analysts and product teams to deliver robust data platforms while mentoring engineers and promoting best practices in data quality, security and observability.

Qualifications

• 5+ years' experience in Data Engineering with enterprise-scale projects.
• Strong modern data architecture and cloud-based platforms.
• Advanced SQL development and performance optimisation.
• Experience with Snowflake, dbt, and Azure data services.
• CI/CD and DevOps practices, plus Airflow or similar tooling.

Responsibilities

• Design, build and maintain scalable data pipelines and ETL processes.
• Lead data architecture, models and integration patterns.
• Drive code quality, testing, documentation and observability.
• Optimise data platforms for performance, scale, reliability and cost.
• Partner with stakeholders to translate business needs into technical solutions.
• Champion data quality, governance and security across the data ecosystem.
• Mentor engineers and foster knowledge sharing.
• Contribute to strategic planning and evolution of the data platform.

Skills

Data engineering

SQL optimization

Data architecture

Cloud data platforms

ETL/ELT design

CI/CD

Airflow

Tools

Snowflake

dbt

Azure

Data warehousing

Job description

The Warehouse Group (TWG) is seeking a Senior Data Engineer to shape and evolve our enterprise data platform. You will design, build and optimise scalable data solutions for trusted insights across the business.

Based in Auckland, NZ, this hybrid role partners with architects, analysts and product teams to deliver robust data platforms while mentoring engineers and promoting best practices in data quality, security and observability.