Vanguard Australia4 followers26 jobs

Data Engineer - (with Business Analyst Expertise)

Mid levelFull-timeHybridMelbourne VIC, AustraliaBusiness operationsDataInformation technologyPosted 5 days ago
View your fit0 of 9 criteria met

About the job

This job is about being a Data Engineer at Vanguard Australia, where you will support the Personal Investor Data Analysis department. Your work will have a significant impact on data-driven decision-making, enhancing both client and crew experiences. The team thrives on collaboration, engineering excellence, and a commitment to data quality.

You'll be responsible for

🔄

Engineering scalable pipelines

Engineer scalable pipelines (e.g., Glue/Databricks, Step Functions, Lambda) to deliver timely, reliable data.
🤝

Partnering with Marketing and MarTech

Collaborate with Marketing and MarTech to define business data needs, produce requirements, and create data mappings.
🔗

Building two-way integration

Establish integration between Vanguard Australia’s data analytics platform and Adobe Experience Platform, ensuring secure data flows.

What we're looking for

🔧

Strong SQL and Python skills

Proven experience with SQL (PySpark & Spark SQL) and Python.

View fit

🚀

Experience with pipeline tooling

Hands-on experience using Glue, Step Functions, or Lambda.

View fit

📊

Data pipeline optimization

Proficiency in building and optimizing data pipelines with Databricks.

View fit

View more

Meet the team

About the company

View your fit

0 of 5 criteria met
Strong SQL and Python skills
Proven experience with SQL (PySpark & Spark SQL) and Python.

View

Experience with pipeline tooling
Hands-on experience using Glue, Step Functions, or Lambda.

View

Data pipeline optimization
Proficiency in building and optimizing data pipelines with Databricks.

View

Documentation capabilities
Ability to document requirements and design efficient solutions.

View

Collaborative mindset
Experience working with diverse teams in Agile environments.

View

A meaningful career starts with a match

  • Explore
    • Jobs
    • Companies
    • People
    • Hatch Hotlist 2025
  • Hiring
    • Permanent hires
    • Hatch Placements
  • Resources
    • Blog
    • Community stories
    • Career advice
    • Customer stories
    • Help centre
  • Hatch
    • About
    • Careers
    • Contact
    • Hatch updates
    • Media enquiries
  • © 2025 Hatch
  • Privacy
  • Terms

Similar jobs

View all
XPT Software
XPT Software
Data EngineerSydney, NSW · Full-time
This job focuses on leveraging data skills to deliver impactful projects in the Credit Risk and Collections domain. The importance of this position lies in ensuring data quality and effective communication with business stakeholders. The team values collaboration and a proactive approach to problem-solving.
Amazon
Amazon
Data EngineerMelbourne, VIC · Full-time
As a Data Engineer, you will play a crucial role in enabling data-driven decision making within the Amazon Web Services (AWS) Data Center Infrastructure Operations organization. This job offers an exciting opportunity to work with huge data sets and emerging technologies, driving business intelligence solutions from end to end. The team thrives on collaboration and inclusivity, empowering each member to contribute bold ideas and take ownership of their projects.
Cuscal Limited
Cuscal Limited
Data EngineerSydney, NSW · Full-time
The Data Engineer position at Cuscal is an exciting opportunity to be part of a pioneering team shaping the future of payments. This role is crucial in developing innovative solutions that directly impact millions of users, allowing you to leverage your technical skills in a collaborative environment. Join a team that values creativity, continuous improvement, and the drive to push boundaries.
Infosys
Infosys
Data EngineerSydney, NSW · Full-time
The Data Engineer job at Infosys is an exciting opportunity to enhance and maintain data pipelines for reporting and analytics on the Unified Data platform. This position plays a crucial role in enabling clients to navigate their digital transformation journey by ensuring timely and accurate delivery of data and services. The team thrives on collaboration, effective communication, and adapting to an agile environment, making it a dynamic place to work.