6 month day rate contract. Sydney hybrid 3 days onsite.
Profusion are looking for an experienced Enterprise Analytics Engineer to help establish a consolidated analytics environment for our Banking client. You'll rationalise fragmented datasets and enable scalable, self-service reporting through ThoughtSpot.
Platform context: This role interacts with an Enterprise Data Platform, which runs the division's digital and data stack on Google Cloud (BigQuery), with self-service analytics delivered through ThoughtSpot.
Key Responsibilities
- Assess the existing data architecture and reporting landscape
- Consolidate multiple data sources, tables and models into a trusted analytics layer
- Design and implement a centralised enterprise data model
- Optimise the performance of reporting datasets and SQL workloads
- Build curated semantic layers for analytics consumption
- Enable and support ThoughtSpot integration
- Improve report refresh automation and reduce manual effort
- Partner with business stakeholders to support dashboard requirements
Mandatory Skills
- 7+ years of enterprise data engineering experience
- Advanced SQL, query optimisation and data warehousing expertise
- Solid dimensional modelling skills
- Cloud data engineering experience on Google Cloud, with BigQuery strongly preferred (AWS useful for broader infrastructure context)
- Hands-on experience with dbt, Airflow (or equivalent orchestration) and Python
- Data governance, lineage, ownership and metadata management
- Performance tuning and optimisation
- Experience supporting BI and reporting platforms
Preferred Skills
- ThoughtSpot experience, including Spotter / Sage (highly desirable)
- Power BI, Tableau or Looker background
- Financial services or banking experience
What You'll Deliver
- Centralised analytics repository
- Consolidated enterprise data model
- Analytics-ready curated datasets
- ThoughtSpot-ready architecture
- Automated refresh and orchestration processes
📌 Enterprise Analytics Engineer (Sydney)
🏢 Profusion
📍 Sydney
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