Data Engineer

The data application engineer will partner with the Direct to Consumer and Client Intelligence areas and is responsible for providing innovative data technology solutions to our business to deliver data driven solutions.

About Vanguard

Vanguard Australia has been helping investors achieve their long-term financial goals for over 20 years. Serving institutional and individual clients, and financial advisers, we offer investment solutions that are low-cost, diversified and robust through time.

With more than AUD $11 trillion in assets under management Vanguard is one of the world’s largest global investment management companies. In Australia we partner with institutional clients, financial advisers and individual investors to offer low-cost investment solutions. Our comprehensive range of managed funds, exchange traded funds (ETFs) and tailored investment solutions are built to support long-term investment success for our clients.
 

Our Team & Opportunity

The APAC Direct to Consumer (D2C) Technology team is responsible to:

• Deliver and support an IT ecosystem that positions Vanguard for scale and performance in the AU direct market.

• Provide World Class digital client experiences, locally tailored but designed for global re-use.

• Position International for geographical expansion.

• Design for the future to support expansions into Advice and analytically driven rapid iterative feature delivery.

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The data application engineer will partner with the D2C and Client Intelligence areas and is responsible for providing innovative data technology solutions to our business solutions to deliver data driven solutions.

This team is a fully stacked team of 6 consisting of product owner, scrum master, a tech lead, and 3 data engineers.

Core Accountabilities

• Provides Intermediate level system analysis, design, development, and implementation of Big Data Analytics applications on AWS.  

• Translates technical specifications, and/or logical and physical design into “clean” code for new or enhancement projects for internal clients

• Develops code and test artefacts that reuse subroutines or objects, is well structured, backed by automated tests, includes sufficient comments and is easy to maintain.

• Employs contemporary software development techniques to ensure code is implemented in a way that supports automation

• Elevates code into the development, test, and Production environments on schedule and provides follow up production support.

• Participates in design, code, and test inspections throughout life cycle to identify issues

What We Are Looking For

• Strong working experience with full stack progressive web/enterprise/cloud/desktop technologies.

• Good understanding of lean principles, including Shift left, DevOps, CloudOps, DataOps, CI/CD; should have experience with xDD and Atlassian tool suite

• A passionate Developer with broad knowledge in various methodology practices and concepts: full product life cycle, Agile methodology, DevSecOps principals etc

• Undergraduate degree in a related field or the equivalent combination of training and experience.

• Knowledge of one or more development tools and programming languages, such as Python/PySpark, NodeJS, and JavaScript/Typescript is a must, Java 8 and/or 9 with Spring Boot, Spring Integration, JAX-RS, Spring Batch and Spring Security is highly regarded. 

• Scripting knowledge of UNIX and Windows systems, e.g., Bash and PowerShell.

• Self-Starter, be comfortable with ambiguity and demonstrable learning agility

• Ability to translate business needs to system and software requirements 

• Strong written and oral communication skills and presentation skills, preferred.

• Good knowledge of data streaming services such as Flume, Kafka, etc.   

• Worked on cloud architecture such as AWS, MS Azure, etc. and related Big Data technologies (AWS EMR, S3, ECS, Kinesis, Cloud Formation templates, Cloud Watch Logs, Splunk, Ansible, etc.)

Specialization that will make an impact:

• Knowledge of the financial services industry particularly Investment Management preferred.

• Experience in setting up, operating, and monitoring a technical platform and its associated technologies.

• Capability to question the status quo, challenge yourself and the business on the value that will be delivered to our customers.

• Lead issue resolution, identifying root cause and implementing solutions.

• Experience in Data Modelling and Business intelligence systems design and implementation.

• Experience of performance and stress testing as well as chaos engineering and site reliability engineering (SRE).

• Experience with Machine Learning (ML), NLP, Robotic, and AI concepts would be preferred

• Fluent in enterprise security practices such as OKTA and SiteMinder

• Experience with Data Visualization tools (Tableau is Preferred).

• Knowledge of one or more testing tools, performance tools, and scripting languages such as JMeter, Pytest, jasmine, karma, protractor, JUnit, selenium, cucumber

• Experience on Flask

Inclusion Statement

Vanguard’s continued commitment to diversity and inclusion is firmly rooted in our culture. Every decision we make to best serve our clients, crew (internally employees are referred to as crew), and communities is guided by one simple statement: “Do the right thing.”

We believe that a critical aspect of doing the right thing requires building diverse, inclusive, and highly effective teams of individuals who are as unique as the clients they serve. We empower our crew to contribute their distinct strengths to achieving Vanguard’s core purpose through our values.

When all crew members feel valued and included, our ability to collaborate and innovate is amplified, and we are united in delivering on Vanguard’s core purpose.

Our core purpose: To take a stand for all investors, to treat them fairly, and to give them the best chance for investment success.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.