Data Engineering Tech Lead at Vanguard

Melbourne, Victoria, Australia

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, Investment ManagementIndustries

Requirements

Strong experience working in Cloud-based Engineering teams, preferably using AWS
Experience leading teams, prioritising effort, and focussing effort strategically and tactically
Experience working across multiple timezones or an interest to do so – specifically from Melbourne with London and Pennsylvania
Solid understanding of dimensional modelling, with Data Vault experience a bonus
Thorough understanding of Python and SQL for data exploration and transformation, ideally within Spark environments (Pyspark, SparkSQL) such as within Glue jobs
Strong written and oral communication skills and presentation skills with the ability to translate business needs to system and software/data requirements
Strong analysis and analytical skills with attention to detail within complex systems and datasets, particularly on relationships between them
Solid understanding of version control systems, specifically Git
Experience working in Data & Analytics teams with Data Engineers, Analysts, Scientists on on-premises or cloud-based environments
Experience with or knowledge of working with SaaS products, CRM and ERP systems, and generally working with data in different formats, such as flat files, APIs, JSON, and RDBMS
Good understanding of lean and Agile principles, including Shift left, DevOps, CloudOps, DataOps, CI/CD & with a SRE mindset
Experience working in complex Data environments, including with ETL processes/data integration frameworks, such as with Data Lakehouses, Data Warehouses and Data Lakes
A self-starter who’s comfortable with ambiguity and demonstrable learning agility
Experience with Data Visualization tools (Tableau is preferred) or business teams who used visualisation tools
Knowledge of the financial services industry, particularly Investment Management (specialisation)

Responsibilities

Work with our 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
Support Data Quality and Data Governance processes by writing maintainable, well-documented, and resilient code
Support existing infrastructure and processes working closely with the wider Data & Analytics team in Australia, Europe, and the US to ensure accessible and timely data
Monitor, test, and report on the current data lake processes and work with the Product Owner to appropriately prioritise correction or migration to the new lakehouse
Contribute to the learning and development of our existing crew, providing knowledge share sessions to ensure we’re all along for the ride
Support the leadership and management of the Data Engineering and Analytics Office teams

Skills

AWS

Data Lakehouse

Metadata-driven

Incremental Loading

Data Quality

Data Governance

Data Engineering

Vanguard

Client-owned investment management firm offering low-cost funds

About Vanguard

Vanguard provides financial services with a focus on investment management. The company offers a variety of products, including mutual funds, exchange-traded funds (ETFs), individual retirement accounts (IRAs), and 401k rollovers, aimed at individual investors, financial advisors, and institutions. Vanguard's unique ownership structure means it is owned by its funds, which are in turn owned by the clients, allowing it to prioritize the needs of its investors over external shareholders. This model enables Vanguard to offer low-cost investment options, as it primarily earns revenue through management fees that are generally lower than industry standards. Additionally, Vanguard provides personalized investment advisory services, charging fees based on the assets managed. The company's goal is to help clients grow their wealth and achieve their financial objectives through effective investment strategies, while maintaining a competitive performance track record.

Kline Township, PennsylvaniaHeadquarters

1975Year Founded

SECONDARYCompany Stage

Fintech, Financial ServicesIndustries

10,001+Employees

Benefits

Best-in-class medical, dental & vision coverage

Onsite health clinic & fitness center

Health Smart Rewards program

Vanguard Retirement Savings Plan

Education Benefits

PTO

Family Planning Benefist

Parental leave

Personal development opportunities

Volunteer Time Off

Risks

Competition from AI-driven platforms like Writer challenges Vanguard's traditional advisory services.

Vanguard's stake in Steelcase exposes it to the volatile furniture market.

New active bond ETFs may struggle in a low-yield environment with increasing competition.

Differentiation

Vanguard is client-owned, aligning its interests with investors, unlike traditional firms.

The firm offers low-cost investment products, making it attractive to cost-conscious investors.

Vanguard's ownership structure allows it to focus on long-term investor value.

Upsides

Vanguard's new active bond ETFs offer diversified, low-cost fixed income options.

The acquisition of Steelcase shares diversifies Vanguard's portfolio into the furniture industry.

Launching the International Dividend Growth Fund appeals to investors seeking sustainable dividend growth.

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