Data Engineer - Build Data Warehouse & Dashboards

Murdoch Children's Research Institute; City of Melbourne; On-site; AUD 100,000 - 150,000; Full time

Benefits offered by this job

Synapse onsite café

Staff parking discount

Public transport nearby

Paid parental leave

Job summary

Murdoch Children's Research Institute in Melbourne is seeking a hands-on Data Engineer to design, build and own our data warehouse, ETL pipelines and dashboards.

You will work with SQL, Python, Metabase and AWS to turn operational data into dashboards and insights that inform decisions across teams.

This role emphasizes reliability, data quality and collaboration with domain experts to deliver scalable data solutions in a fast-paced research environment.

Qualifications

• 3+ years of experience as a data engineer, analytics engineer, BI developer or similar.
• Experience building and maintaining ETL/ELT pipelines in production.
• Strong SQL: complex queries, data modelling and query optimisation on relational databases.

Responsibilities

• Design, build and maintain a data warehouse consolidating data from multiple source systems
• Build and operate reliable ETL/ELT pipelines feeding the warehouse
• Develop dashboards and reports (we use Metabase) for monitoring, reporting and self-service analytics
• Perform deep-dive analysis with SQL to answer operational and business questions
• Ensure data quality and validation across pipelines and datasets
• Work with non-technical stakeholders to turn reporting needs into well-designed dashboards and data models

Skills

SQL

Python

Metabase

AWS

Data modeling

Data warehousing

Git

Tools

Metabase

Tableau

Power BI

Looker

Job description

Murdoch Children's Research Institute in Melbourne is seeking a hands-on Data Engineer to design, build and own our data warehouse, ETL pipelines and dashboards.

You will work with SQL, Python, Metabase and AWS to turn operational data into dashboards and insights that inform decisions across teams.

This role emphasizes reliability, data quality and collaboration with domain experts to deliver scalable data solutions in a fast-paced research environment.