Senior Analytics Engineer

Hybrid | 6-month contract | Banking & Financial Services
We are looking for an Enterprise Analytics Engineer to join a major banking and financial services division in Sydney on an initial 6-month contract. This is a build role. The division's reporting landscape has grown organically across multiple teams, leaving fragmented datasets, duplicated models and heavy manual effort. You will consolidate that into a single trusted analytics layer on Google Cloud, and enable self-service analytics through ThoughtSpot on the Enterprise Data Platform.
What you will do Assess the current data architecture and reporting landscape Consolidate multiple sources, tables and models into a trusted analytics layer Design and implement a centralised enterprise data model Build curated semantic layers for analytics consumption Optimise reporting datasets and SQL workload performance Enable and support ThoughtSpot integration Automate report refresh and reduce manual effort Partner with business stakeholders on dashboard and reporting requirements
What you will bring 7+ years in enterprise data engineering Advanced SQL, query optimisation and data warehousing expertise Strong dimensional modelling skills Cloud data engineering on Google Cloud, BigQuery strongly preferred Hands-on dbt, Airflow (or equivalent orchestration) and Python Data governance, lineage, ownership and metadata management experience Performance tuning and optimisation Experience supporting BI and reporting platforms
Nice to have ThoughtSpot experience, including Spotter or Sage Power BI, Tableau or Looker background Financial services or banking experience