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Join a leading financial services provider, helping to shape the future of data modelling and governance in the financial sector. This permanent role offers the opportunity to work in Sydney with a hybrid arrangement, leveraging advanced tools and driving data engineering innovation.
Job Responsibility:
Lead the design and implementation of Data Vault data models across the organization
Coach and mentor Data Engineers on best practices for data modelling and governance
Define and establish enterprise-level Data Modelling Standards to support domain-based reusability
Develop and enforce Data Vault modelling patterns
Collaborate with cross-functional teams to deliver effective data modelling solutions that meet business and technical requirements
Leverage advanced tools like DBT, Spark, PySpark, SQL, and Python.
Requirements:
Expert-level skills in Data Vault modelling with a focus on best practices and governance
Experience mentoring Data Engineers and enhancing their data modelling skills
Strong analytical skills to identify and resolve challenges in data modelling
Proven ability to work across teams to drive successful data outcomes
A deep understanding of data governance and the ability to establish enterprise-level modelling standards.
Nice to have:
Experience in CI/CD methodologies
Experience in SQL
Python
PySpark.
What we offer:
Hybrid work arrangement
Opportunity to join a leading financial services provider
Playing a lead role in shaping the maturity of their data platform on AWS cloud
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