Senior BI & Data Engineer: Automate Insights & Data Platform

Trideca; Sydney; On-site; AUD 140,000 - 170,000; Full time

Job summary

Trideca is recruiting on behalf of a leading Australian health services organisation for a Senior Business Intelligence Engineer embedded in the product team. This role blends data engineering and data analysis, writing the code that gets data out and reading it to know which number actually answers the question.

The team will automate extraction, build trusted reporting, and retire current scripts. Over time, focus shifts toward engineering as we move toward a managed data platform with

Qualifications

• Five or more years in BI, data engineering or analytics engineering with an engineering bias.
• Strong Python and SQL skills, able to write maintainable extraction/transform code.
• Practical AWS experience, especially S3, and pulling data from APIs.
• Tableau capability for dashboards and underlying datasets.
• Sharp analytical judgement to select the right metrics for questions.

Responsibilities

• Write and automate code to extract operational data from source systems, AWS and third party tools.
• Replace manual reporting with automated, repeatable processes and rebuild scripted workarounds.
• Model and prepare data so numbers are consistent, explainable and defensible.
• Build and maintain Tableau reporting and the underlying datasets.
• Collaborate with product stakeholders to translate requests into measurable metrics.
• Support move to a managed data platform (Databricks or Snowflake) as the org scales.

Skills

BI experience

Python

SQL

AWS S3

Tableau

Analytical judgement

Tools

Databricks

Snowflake

dbt

Airflow

Job description

Trideca is recruiting on behalf of a leading Australian health services organisation for a Senior Business Intelligence Engineer embedded in the product team. This role blends data engineering and data analysis, writing the code that gets data out and reading it to know which number actually answers the question.

The team will automate extraction, build trusted reporting, and retire current scripts. Over time, focus shifts toward engineering as we move toward a managed data platform with