Senior Analytics Engineer: AI-Driven Data Quality Modeling

Trade Me Limited; Auckland; On-site; NZD 140,000 - 190,000; Full time

Benefits offered by this job

AI skilling

Flexibility & utilities allowance

Wellness resources

Wellness leave

Social events

Learning & internal mobility

Job summary

Trade Me Limited, a Kiwi tech company, seeks an experienced Analytics Engineer to own end‑to‑end data quality for the new platform. You’ll model data with a business lens, validate reports in Snowflake, and build dbt models alongside analytics engineers.

You’ll influence multiple squads, collaborate with platform engineers and Technical Product Owners, and explore event‑driven data opportunities to unlock new value. AI‑driven development with Claude Code is encouraged.

Qualifications

• 5+ years in analytics engineering or a related role with direct collaboration with software engineering teams.
• Strong hands-on dbt and SQL-first dimensional modelling, plus data verification in Snowflake.
• Experience with event-driven or product-generated data and how changes affect metrics and reporting.
• Proven track record owning data quality or testing outcomes across teams, including test scenarios and verification.
• Experience in business-facing insights or analytics, partnering with stakeholders on metrics and reporting.
• Strong insights instinct and a quality mindset beyond technically correct data.
• Comfort working with software engineers and understanding testing in the stack.
• A self-organising doer, coordinating across squads and knowing when to pull in experts.
• Clear communication across engineers, analysts and product owners in an agile environment.
• An AI-first approach with daily use of AI-assisted development (Claude Code) and curiosity about Snowflake AI capabilities.

Responsibilities

• Own the new platform's data quality end to end, vertical by vertical.
• Bring a business and vertical lens to data modelling, collaborating with analytics and data engineers.
• Verify that reports and metrics built on data are accurate and meet business needs.
• Build and modify dbt models, working with analytics engineers on core platform models.
• Coordinate data impact assessments across squads, from test scenarios to results in Snowflake.
• Scale the method across multiple squads so it isn't dependent on one person.
• Partner early with platform engineers and Technical Product Owners to guide modelling before build.
• Identify where event-driven data can unlock value beyond legacy reporting.
• Support Technical Product Owners with insights to track rollout success.
• Learns verticals alongside Insights Analysts and share learnings.

Skills

dbt

SQL

Snowflake

Analytics engineering

Data quality

Testing

Stakeholder engagement

Cross-squad coordination

AI tools

Communication

Tools

Claude Code

Job description

Trade Me Limited, a Kiwi tech company, seeks an experienced Analytics Engineer to own end‑to‑end data quality for the new platform. You’ll model data with a business lens, validate reports in Snowflake, and build dbt models alongside analytics engineers.

You’ll influence multiple squads, collaborate with platform engineers and Technical Product Owners, and explore event‑driven data opportunities to unlock new value. AI‑driven development with Claude Code is encouraged.