Senior Data Engineer — Build Scalable Property Data Platforms

REA Group; City of Yarra; On-site; AUD 150,000 - 190,000; Full time

Benefits offered by this job

Hybrid and flexible working

Birthday leave & flexible leave

Parental leave options

Volunteer & community programs

Hackdays to realise ideas

Job summary

REA Group is seeking a Senior Data Engineer to join PropTrack's Core Property Data team in Richmond. You will design and maintain data pipelines, APIs and models powering internal and external data solutions across REA and PropTrack.

You will mentor peers and help elevate data engineering practices in a dynamic, high-performance environment. You will work with Airflow/Breeze, BigQuery and modern languages (TypeScript/Node.js, Python), building reliable data platforms while focusing on data

Qualifications

• 5+ years of hands-on experience in data engineering, with data-intensive systems at scale.
• Strong API design, ownership and integration experience.
• Proficiency in TypeScript/Node.js or Python, and solid SQL skills.
• Experience building data pipelines and models with Airflow/Breeze and BigQuery.
• Knowledge of data governance, quality and modelling in large datasets.
• Experience with cloud platforms (GCP and/or AWS) and DevOps concepts (Docker, CI/CD, IaC).
• Ability to diagnose data quality issues and production incidents in distributed systems.
• Strong collaboration with engineers, analysts and product managers.
• Curious, pragmatic mindset focused on reliable, scalable data solutions.

Responsibilities

• Designing, building and maintaining data pipelines, models and APIs across ingestion, transformation and consumption layers.
• Lead technical design discussions to shape data platforms and APIs.
• Work with Airflow/Breeze, BigQuery, Kafka and modern backend languages to deliver reliable property data.
• Enhance products by resolving data quality issues and improving performance.
• Support production systems with monitoring, observability and automation.
• Ensure reliability, security and resilience in line with ‘you build it, you run it’.
• Collaborate with engineers, analysts and product managers to translate requirements into solutions.
• Provide mentorship and guidance to engineers within the squad.

Skills

API experience

Data engineering

TypeScript/Node.js

Python

SQL proficiency

Airflow/Breeze

BigQuery

Data modelling

Cloud platforms (GCP/AWS)

Docker & CI/CD

Infrastructure as code (Terraform, CDK

Tools

Airflow/Breeze

BigQuery

Docker

Terraform

CDK / CloudFormation

Job description

REA Group is seeking a Senior Data Engineer to join PropTrack's Core Property Data team in Richmond. You will design and maintain data pipelines, APIs and models powering internal and external data solutions across REA and PropTrack.

You will mentor peers and help elevate data engineering practices in a dynamic, high-performance environment. You will work with Airflow/Breeze, BigQuery and modern languages (TypeScript/Node.js, Python), building reliable data platforms while focusing on data