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Senior Data Engineer - Data Platform

Sydney, New South Wales💼 Full-time🗓 2026-08-30 → 2026-09-26

Core

Build and operate scalable data platform capabilities for batch and streaming pipelines on a Lakehouse architecture to serve as the source of truth for data-driven decisions and analytics across the business.

Role type

Senior Data Engineer (Data Platform)

Builds

Re-usable, scalable data solutions and assets on a modern Lakehouse platform

Domain

Commercial Real Estate / Cloud Data Engineering

Deliverable

production ML models | product features | dashboards & analysis

Required skills

SQL, Python, Apache Airflow, DBT, AWS Glue, Snowflake, Databricks, Apache Kafka, Apache Flink, Apache Iceberg, Infrastructure-as-Code (CDK/CloudFormation/Terraform), Data Modeling, Cloud Architecture

Preferred skills

Experience with semi-structured and unstructured data, Cost optimization, Schema evolution management

Technologies

AWS, Snowflake, Databricks, Apache Airflow, DBT, Apache Kafka, Apache Flink, Apache Iceberg, Terraform, CDK, CloudFormation

Responsibilities

Design and build re-usable, scalable data solutions; Develop real-time data pipelines for low-latency use cases; Architect and implement cloud-native data warehousing solutions; Optimize complex SQL and Spark workloads for efficiency and cost; Manage Lakehouse table formats and schema evolution; Partner with data scientists and analysts to deliver data solutions.

Seniority

Senior, hands-on IC

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