Staff Data Engineer – Customer Graph & Streaming

45 days left

Staff Data Engineer – Customer Graph & Streaming

Job role insights

  • Date posted

    September 21, 2026

  • Closing date

    November 5, 2026

  • Location

    Melbourne

  • Salary

    $170,000 - $210,000 /year

  • Career level

    Lead / Management

  • Qualification

    Bachelor or Master of Computer Science, Data Science, or Engineering

  • Experience

    5+ Years

Description

Job Overview & Organization Mission

REA Group is recruiting a Staff Data Engineer in Richmond to architect real-time event streaming pipelines for 12+ million monthly property seekers.

REA Group’s Data & Personalisation team is looking for a Staff Data Engineer to architect our enterprise customer identity graph and real-time behavioral data streaming platform. You will solve massive data scale challenges across Kafka, Spark, and Snowflake.

As a key member of the team at REA Group in Melbourne, VIC, you will play a central role in driving excellence, upholding top-tier Australian industry standards, and contributing directly to the strategic milestones of one of the nation’s premier employers.

Position Quick Summary

  • Role Title: Staff Data Engineer – Customer Graph & Streaming
  • Hiring Employer: REA Group
  • Primary Location: Melbourne, VIC, Australia
  • Employment Type: Full Time
  • Career Level: Lead / Management
  • Target Remuneration: AU$170,000 – AU$210,000 per year + 11.5% Superannuation

Key Duties & Core Responsibilities

In this critical role, your operational duties and key performance responsibilities will encompass:

  • Architect low-latency: Architect low-latency streaming event pipelines processing billions of user property interactions daily.
  • Build robust: Build robust customer graph data models enabling personalized property recommendations in real time.
  • Lead data: Lead data platform governance, schema registries, and automated data quality validation with dbt.
  • Mentor data: Mentor data engineers and collaborate with machine learning researchers to productionize feature stores.

Required Qualifications, Licenses & Experience

To be successful in this position at REA Group, candidates are expected to satisfy the following essential selection criteria:

  • Mandatory Qualification: Bachelor or Master of Computer Science, Data Science, or Engineering.
  • Relevant Experience: Minimum 5+ Years of verified industry experience in Australia or recognized overseas equivalence.
  • 8+ years experience in large-scale data engineering and distributed data platforms.
  • Expertise in Apache Kafka / Flink, Apache Spark, and modern cloud data warehouses (Snowflake).
  • Deep proficiency in Python, Scala, or Java.

Core Competencies & Key Technical Proficiencies

The successful applicant will possess demonstrated capabilities across the following domain skill sets:

Data Engineering Apache Kafka Apache Spark Snowflake dbt Data Modeling Python

Salary, Compensation & Employee Benefits

At REA Group, we understand that our people drive our achievements. An outstanding remuneration and wellbeing package is provided in line with Australian benchmarks:

  • Competitive Remuneration: AU$170,000 – AU$210,000 per year + standard Australian Superannuation (11.5%).
  • Package $170,000 – $210,000 + annual bonus + superannuation.
  • Richmond award-winning campus with rooftop bar, games area, and gym.
  • Generous learning and development stipends and dedicated innovation hackathons.
  • Leave Entitlements: 4 weeks annual leave (with 17.5% annual leave loading where applicable) plus 10 days paid personal/carer’s leave.
  • Flexible Work: Progressive work-life balance options with supportive corporate culture and leadership development pathways.

About the Employer: REA Group

REA Group operates Australia’s leading digital property site realestate.com.au and international real estate portals.

REA Group is deeply committed to building diverse, equitable, and culturally inclusive work environments. We proudly celebrate diversity and welcome applications from all qualified individuals including First Nations Australians, people with disabilities, and candidates from culturally and linguistically diverse backgrounds.

Application Process & Next Steps

Applications for this position are currently open and being reviewed on a rolling basis. Suitable candidates are encouraged to apply as early as possible before the published closing date.

Please prepare an updated Curriculum Vitae (CV) and a tailored Cover Letter highlighting your relevant experience against the key selection criteria outlined above.

To proceed with your application, click the Apply on Employer Site button to access the official REA Group careers gateway.

Call employer