Practice Lead Data & Analytics
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Job Location:
Auckland - New Zealand
Monthly Salary:
Not Disclosed
Posted on:
15 hours ago
Vacancies:
1 Vacancy
Job Summary
An opportunity has arisen for a senior data engineer to step into technical leadership as Practice Lead for our Data & Analytics team. The role combines advanced hands-on data engineering with responsibility for technical direction team leadership and establishing engineering practices that will scale our data platform.
The position involves serving as the technical authority across our data stack (Snowflake dbt Fivetran Azure) leading a team of data engineers and AI/Application engineers and building the standards and patterns that enable consistent high-quality delivery.
Key responsibilities include:
- Lead the engineering team: Provide day-to-day direction coaching and capability development for data engineers and AI/Application engineers
- Set technical standards: Establish and maintain standards for data modelling code quality testing and deployment that the team builds on
- Build alongside the team: Contribute as a senior technical practitioner delivering complex data engineering solutions and data products hands-on
- Shape technical architecture: Contribute to the roadmap and design patterns that support platform growth and scalability
- Develop team capabilities: Mentor engineers through code reviews pairing sessions and hands-on collaboration
- Ensure platform reliability: Lead performance optimisation troubleshooting and incident response for critical data systems
- Implement governance controls: Embed access management data contracts lineage and quality checks through the platform
The role suits someone with deep technical expertise across the modern data stack who is ready to amplify their impact through leadership while staying close to the code.
Qualifications :
- 6 years of data engineering and analytics experience with demonstrable track record in enterprise environments
- Advanced Snowflake expertise including administration performance tuning and cost optimization in production environments
- Proven dbt proficiency for building and maintaining scalable data transformation workflows
- Demonstrated experience in dimensional data modelling using industry-standard methodologies (Kimball star schema)
- DevOps practices experience including CI/CD pipelines version control and production deployment processes
- Strong leadership and mentoring skills with ability to guide technical teams and foster collaboration
- Strong communication skills to translate complex technical concepts to diverse stakeholders
Additional Information :
- Competitive Salary Package
- Valid and rewarding career path
- Work Life Balance Initiatives
- Professional Development Opportunities
- Onsite Café and Carpark
- Discounts on various products for you and your family to enjoy
- Discounts on Fuel at Z!
To apply for this role click Im interested
Please note - we do not always work to fixed closing dates and may start considering applications as they are received so we encourage you to apply early.
WM is an EEO employer and promotes drug and alcohol-free workplaces.
You must be in New Zealand and hold a current work visa / residency or NZ citizenship.
Remote Work :
No
Employment Type :
Full-time
Key Skills
- Adobe Analytics
- Data Analytics
- SQL
- Attribution Modeling
- Power BI
- R
- Regression Analysis
- Data Visualization
- Tableau
- Data Mining
- SAS
- Analytics
About Company
WM New Zealand is New Zealand's leading resource recovery, recycling, and waste management provider. We’re committed to safeguarding our beautiful environment through sustainable management of our valuable resources. Put simply, sustainability is what we do.
