Vanguard Australia4 followers21 jobs

Data Engineering Tech Lead

SeniorFull-timeHybridMelbourne VIC, AustraliaDataInformation technologySoftware engineeringPosted 3 months ago
View your fit0 of 9 criteria met

About the job

The job is about joining Vanguard's Chief Data Analytics Office (CDAO) team, which is dedicated to transforming how data is utilized to enhance client and investor experiences. This opportunity is crucial as it supports Vanguard's mission to accelerate growth and improve decision-making through data. The team values collaboration and innovation, working together to ensure that every crew member contributes to the overall success of the organization.

You'll be responsible for

🔧

Designing and building data solutions

Working with Engineers and Tech Lead to design, build, and roll out a metadata-driven, incrementally loading data lakehouse solution on AWS for International teams across Vanguard.
đŸ› ïž

Supporting Data Quality

Supporting Data Quality and Data Governance processes by writing maintainable, well-documented, and resilient code.
📋

Monitoring data processes

Monitoring, testing, and reporting on the current data lake processes and working with the Product Owner to appropriately prioritise correction or migration to the new lakehouse.

What we're looking for

☁

Cloud-based engineering experience

Strong experience in Cloud-based Engineering teams, preferably using AWS.

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📊

Data analysis and transformation skills

Thorough understanding of Python and SQL for data exploration.

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đŸ—Łïž

Strong communication skills

Ability to translate business needs into system requirements.

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Meet the team

About the company

View your fit

0 of 5 criteria met
Cloud-based engineering experience
Strong experience in Cloud-based Engineering teams, preferably using AWS.

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Data analysis and transformation skills
Thorough understanding of Python and SQL for data exploration.

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Strong communication skills
Ability to translate business needs into system requirements.

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Experience with data environments
Experience in complex Data environments, including ETL processes.

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Knowledge of financial services
Understanding of the financial services industry, particularly Investment Management.

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