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Staff Data Engineer (Big Data, AWS and Snowflake)

Sydney CBD Area💼 Full-time🗓 2026-09-04 → 2026-09-25

Core

Lead the design and delivery of modern data solutions supporting Home Buying, combining hands-on engineering with technical leadership to modernize the data estate.

Role type

Staff Data Engineer (Big Data, AWS, Snowflake)

Builds

Scalable data pipelines, data products, and modernized data estate on AWS and Snowflake

Domain

Financial Services / Big Data Engineering

Deliverable

production ML models | product features | dashboards & analysis

Required skills

Enterprise data pipeline design, complex SQL, Python/PySpark/Scala/Java, AWS data services (S3, EMR/Spark, Airflow, Iceberg, Glue), Big Data technologies (Spark, Hadoop, Hive, Iceberg, Kafka), Snowflake production experience, dbt, technical architecture leadership, mentoring, AI Engineering frameworks (LangChain, LangGraph, etc.)

Preferred skills

GenAI integration for productivity, cross-organizational collaboration

Technologies

AWS (S3, EMR, Spark, Airflow, Iceberg, Glue), Snowflake, dbt, Python, PySpark, Scala, Java, Kafka, Hadoop, Hive

Responsibilities

Design, build, test, and deploy scalable data solutions; lead engineering initiatives and coordinate delivery across teams; review solution designs and provide architectural guidance; contribute to technical governance; mentor engineers; partner with stakeholders to deliver data solutions; contribute to recruitment and hiring standards; explore GenAI applications for data analytics.

Seniority

Staff, hands-on IC with strategic influence

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