Senior Analytics Engineer

  • New Zealand
  • Auckland
  • Permanent
  • Amazing salary, package + yearly bonus

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.

Apply now

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