Senior Data Engineer

DataTorque Ltd; Wellington; On-site; NZD 120,000 - 180,000; Full time

Job summary

DataTorque, a New Zealand IT company, is seeking a Senior Data Engineer to own the data warehouse behind our analytics platform and enable analytics and AI use cases for tax administration. You will guide technical direction, lead design decisions, and support engineers to deliver data for analytics, ML, and AI initiatives.

You will design architectures optimized for ML, enable high-quality data for model training and inference, and leverage AI-assisted tooling to accelerate development and

Qualifications

• Senior data engineer with production machine learning experience (ETL/ELT, SQL, data validation and transformation).
• Experience with Airflow 3, dbt Core and dlt.
• Experience with PostgreSQL as a warehouse engine.
• Experience with Python, scikit-learn and MLflow.
• Experience with Evidently or similar tools for drift detection.
• Knowledge of tax administration or debt collections is a bonus.
• Experience with Power BI or another BI tool is a bonus.
• OpenMetadata experience is a bonus.
• Interpersonal skills and the ability to consult and influence stakeholders.
• A problem solving and analytical mindset with attention to detail.
• Consistently takes responsibility for their work and works well in a team.

Responsibilities

• Design data architectures optimised for machine learning and AI.
• Enable high-quality data for model training and inference.
• Use AI assisted tooling to improve development speed, data quality and platform reliability.
• Design data warehouses underpinning analytics platform.
• Develop and optimise dbt Core and dlt models for analytics and reporting.
• Build and support ETL and ELT pipelines using SQL and Python.
• Collaborate with cross functional teams to enable self service analytics across compliance and risk use cases.

Skills

ML experience

Interpersonal skills

Analytical mindset

Problem solving

Teamwork

Tools

Airflow 3

dbt Core

dlt

PostgreSQL

Python

scikit-learn

MLflow

Evidently

Power BI

OpenMetadata

Job description

Senior Data Engineer

DataTorque

Wellington Central, Wellington

Database Development & Administration (Information & Communication Technology)

Full time - Salary undisclosed

About Us

We’re a New Zealand company helping governments around the world modernise their tax systems. Our clients span South America, the Caribbean, the Pacific, and Europe. We’re proud to contribute to public sector reform and align our technology with our clients’ visions.We’re a family-friendly workplace that celebrates diversity and encourages you to bring your whole self to work. Because our customers are located worldwide, we look for team players who are open to learning about different cultures and experiencing different approaches to work.

About the role

We're looking for an experienced data engineer to build and own the data warehouse behind our analytics platform and help us build out the next generation of analytics tooling for tax.

In this role, you'll guide technical direction, lead key design decisions and support engineers to deliver data for analytics and AI use cases. You'll be part of a team shaping the future of global tax administration, helping governments operate more effectively, improve fairness and protect the revenue that funds public services.

Day to day, you'll design data architectures optimised for machine learning and AI, enable high-quality data for model training and inference, and use AI assisted tooling to improve development speed, data quality and platform reliability.

What you’ll do

• Design and build the data warehouse that underpins our analytics platform
• Design, build and maintain analytics ready data models, with a strong focus on dimensional modelling
• Develop and optimise dbt Core and dlt models to deliver datasets for analytics and reporting
• Build and support ETL and ELT pipelines using SQL and Python
• Work closely with cross functional teams to enable self service analytics across compliance and risk use cases
• Continuously improve data quality, performance and engineering standards

What will you bring?

• Senior data engineer with production machine learning experience (ETL/ELT, SQL, data validation and transformation)
• Experience with Airflow 3, dbt Core and dlt
• Experience with PostgreSQL as a warehouse engine
• Experience with Python, scikit-learn and MLflow
• Experience with Evidently or similar tools for drift detection
• Knowledge of tax administration or debt collections is a bonus
• Experience with Power BI or another BI tool is a bonus
• OpenMetadata experience is a bonus
• Interpersonal skills and the ability to consult and influence stakeholders
• A problem solving and analytical mindset with attention to detail
• Consistently takes responsibility for their work and works well in a team

Why Work with us?

The work is interesting and meaningful, but it's the people who make DataTorque a great place to work. We're collaborative, down-to-earth and supportive. We care about doing quality work and helping each other succeed. Whether it's catching up over coffee, dragon boating or after-work board games, we enjoy spending time together and celebrating our successes.

You’ll be supported to be yourself and bring your unique strengths to the table. And with clients around the world, you’ll have opportunities to grow and connect beyond New Zealand.