REA Group
2 interested3 jobs

Senior Data Engineer

SeniorFull-timeHybridRichmond VIC 3121, AustraliaPosted 3 months agoVerified 3 months ago
Pending fitX of Y criteria met

About the job

Join REA Group as a Senior Data Engineer and collaborate with a talented team on high-impact property data products. This job is all about designing and maintaining data pipelines and APIs that power innovative solutions for customers. The team thrives in a supportive environment where mentoring and growth are key, making it a fantastic opportunity to elevate your data engineering practice.

You'll be responsible for

🔧

Designing data pipelines

Designing, building and maintaining data pipelines, models and APIs across ingestion, transformation and consumption layers.
💡

Leading technical discussions

Contributing to and leading technical design and architecture discussions, helping shape how our data, property datasets and APIs evolve to support current and future use cases.
⚙️

Enhancing existing products

Enhancing existing products, including resolving data quality issues, improving performance and implementing scalable patterns.

Key criteria

🔗

API ownership and integration experience

Proven experience owning and integrating APIs for data solutions.

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📊

5+ years in data engineering

Demonstrated hands-on experience in data engineering and related fields.

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☁️

Cloud platform experience

Experience working with GCP and/or AWS for scalable solutions.

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Meet the team

About the company

Apply on REA Group
You'll apply on an external website
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View your fit

5 criteria for this job
API ownership and integration experience
Proven experience owning and integrating APIs for data solutions.

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5+ years in data engineering
Demonstrated hands-on experience in data engineering and related fields.

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Cloud platform experience
Experience working with GCP and/or AWS for scalable solutions.

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Data pipeline and model expertise
Proven skills in building and maintaining data pipelines and models.

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Data quality and governance knowledge
Solid understanding of data quality and governance practices.

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