Senior Analytics Engineer
Location: Auckland
Work Type: Permanent | Hybrid (3 days WFH)
Lead, Mentor, and Make an Impact with Data
Talent’s client is expanding their data capability and looking for a Senior Analytics Engineer to take the lead in shaping scalable, high-quality data models that power better decisions.
This is a newly created role designed for someone ready to step up – leading projects, mentoring intermediate engineers, and ensuring best-practice data engineering across the business.
You’ll be joining a high-performing, collaborative team that’s invested heavily in modern cloud data platforms and ready to take things to the next level.
What you’ll do
- Lead end-to-end delivery of analytics engineering projects.
- Mentor and guide intermediate team members.
- Design and build data models and pipelines that scale.
- Improve data architecture, quality, and performance.
- Partner with stakeholders to turn business goals into data solutions.
- Follow and improve engineering best practices.
What you’ll bring
- 5+ years’ experience in data or analytics engineering, BI, or data development.
- Strong coding skills in Python and SQL (PySpark experience a plus).
- Experience working in a cloud environment (AWS, Azure, or GCP).
- Hands-on experience with tools such as Databricks, dbt, Snowflake, or BigQuery.
- Strong grasp of data modelling (e.g. star schema, dimensional models).
- Understanding of CI/CD, testing, and clean code principles.
- Excellent communication and stakeholder management skills.
You’ll thrive here if you…
- Love collaborating and mentoring others.
- Bring an analytical and product-focused mindset.
- Enjoy solving complex problems and improving processes.
- Want to influence technical direction and make a measurable impact.
Why apply?
- Hybrid working: 3 days WFH, office days Tuesday & Thursday.
- Be part of a talented team using cutting-edge cloud data tools.
- Work with a business that values growth, collaboration, and continuous learning.
Ready to level up your analytics engineering career?
Apply now to join a team where your ideas and technical leadership will shape the future of data.