Senior Analytics Engineer

AI Voice Base; Sydney, Melbourne; On-site; AUD 120,000 - 170,000; Full time

Job summary

Heidi AI is seeking a Senior Analytics Engineer to collaborate with analysts, data engineers, and AI specialists to build scalable data models and pipelines, and to track product events with a strong emphasis on data accuracy and trustworthiness.

The role involves working on cloud platforms such as AWS and Azure, with a focus on data quality, governance, and supporting AI workloads in a health data environment.

Qualifications

• 3-5 years of experience in analytics or data engineering.
• Strong SQL skills.
• Familiarity with Python, PySpark, and modern data tools (dbt, Databricks, Airflow).

Responsibilities

• Develop scalable data models and pipelines and product event tracking.
• Collaborate with analysts, data engineers, and AI specialists to ensure data accuracy and trustworthiness.
• Work on cloud platforms like AWS and Azure, focusing on data quality and governance.
• Support customer-facing data products with PHI/PII considerations.
• Communicate findings clearly and maintain a proactive mindset.

Skills

Data analytics

Data engineering

SQL

Python

PySpark

Tools

dbt

Databricks

Airflow

Job description

At Heidi AI, the data team is central to advancing healthcare through AI-driven solutions. The Senior Analytics Engineer will collaborate with analysts, data engineers, and AI specialists to develop scalable data models, pipelines, and product event tracking, ensuring data accuracy and trustworthiness. The role involves working on cloud platforms like AWS and Azure, emphasizing data quality, governance, and supporting customer-facing data products in a sensitive health data environment.

The ideal candidate has 3-5 years of experience in analytics or data engineering, with strong SQL skills and familiarity with Python, PySpark, and modern data tools such as dbt, Databricks, and Airflow. They should be adept at translating complex data into actionable insights, supporting AI workloads, and maintaining data integrity, especially concerning PHI and PII. Clear communication and a proactive mindset are essential.

This full-time, on-site position is based in Sydney or Melbourne. The company values building impactful healthcare solutions, emphasizing innovation, ownership, and continuous improvement. The environment encourages leading initiatives, rapid iteration, and working in a high-growth setting focused on real-world impact.