Software Engineer - Java, Kafka & Market Data

Responsibilities

You will develop and support services that manage and distribute critical market and pricing data across financial platforms. This involves transforming source data into reusable services and providing L3 production support for distributed systems.

Requirements

The role requires strong software engineering experience with Core Java, Kafka, and SQL in a Unix/Linux environment. Experience with market data platforms and troubleshooting distributed systems is highly regarded.

Skills

• Core Java
• Kafka
• Avro
• Unix
• Linux shell scripting
• SQL
• Relational databases
• API development
• Automated testing
• Distributed systems
• Market data
• Pricing data
• ELK
• Grafana
• Observability
• Agile

Benefits

• Banking product discounts
• Employee-only mortgage rates
• Flexible work arrangements
• Culture leave
• Lifestyle leave
• Wellbeing leave
• Learning and development opportunities
• Volunteering initiatives

About this role

Create your best future and join the Reference and Market Data Services squad in
Connected Markets as an Engineer.

What’s the role?

Join the Reference and Market Data Services squad within Connected Markets,
building and supporting the services that acquire, manage, enrich and distribute
critical reference, market and pricing data across Financial Markets. You’ll
develop Core Java services, Kafka/Avro integrations and APIs, working with data
from platforms including Refinitiv Workspace and DataScope Select, Bloomberg,
EBS, IRESS, FXT, FITS and NeoXam. You’ll help transform source data into
trusted, reusable data services for trading, risk, finance, regulatory and
analytics platforms, while troubleshooting distributed systems and providing L3
production support.

What do I need?

* Strong software engineering experience with Core Java.
* Hands-on experience with Unix/Linux shell scripting and SQL/relational
databases.
* Experience developing Kafka/Avro integrations, APIs and automated testing.
* Strong troubleshooting and problem-solving capability across distributed
systems.
* Ideally, experience with reference data, market data, pricing data or vendor
data services within Capital Markets.
* Exposure to market-data platforms such as Refinitiv, Bloomberg, EBS or IRESS
would be highly regarded.
* Experience with ELK, Grafana, production support and observability is
desirable.
* Exposure to AI-assisted coding tools, Agile delivery, JIRA and Confluence
would also be beneficial.

Why join us? 

We’re obsessed with becoming our customers #1 banking partner for life and we’re
looking for people who are passionate about helping us achieve that goal. In
return we’re committed to making Westpac the best place to work in the country.
Here are just a few of the ways we’re already doing that:  

* Special offers on banking products and discounts from top brands, including
generous employee-only mortgage rates!  

* Flexible work arrangements to help you achieve a greater work life balance,
and a variety of leave options including Culture, Lifestyle and Wellbeing
leave.  

* Tailored learning and development opportunities to help you grow your career
within the bank.  

* Lots of opportunities to give back to the Community by getting involved in
our many volunteering initiatives 

Create your future today   
To get started, simply click on the APPLY button 

We’re all about creating a supportive and inclusive community. We welcome
everyone no matter your age, gender, background, or abilities. We also provide
additional support to welcome our veterans, Indigenous Australians and
neurodiverse community. 

If you need any adjustments during the recruitment process, you can find more
information and contact details on our FAQs and how to contact us page
[https://www.westpac.com.au/about-westpac/careers/faq-contact-us/], under the
Diversity, sustainability and flexibility section. 

#LI - Hybrid  

About Westpac Group

Financial Services · 10,001+ employees · headquartered in Sydney, New South Wales