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Data Engineer-NSW

The HR AllySydney, Sydney🇦🇺AustraliaPosted 19 Jul 2026

Why This Role Stands Out

Advance your career by building cutting-edge, enterprise-scale data platforms on AWS in a hybrid environment that offers excellent flexibility. You'll thrive here if you're a seasoned Data Engineer with strong AWS, Python, and real-time streaming experience, eager to collaborate and innovate within a reputable company. Don't miss this opportunity to contribute to impactful projects and grow your skills!

Quick Overview

Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
Sydney, Sydney, Australia
DynamoDBMongoDBOracleSQLAWSSnowflakeAirflowApacheCloudFormationGitKafkaPythonRedshiftTerraform

Job Description

Data Engineer Sydney, NSW

We are looking for an experienced Data Engineer (9-14 Years) to join a high-performing team delivering enterprise-scale data platforms and real-time data solutions on AWS.

Must Have Skills
  • AWS Cloud Services
  • Python & PySpark
  • Apache Airflow (MWAA)
  • SQL
  • Amazon Redshift
  • AWS SageMaker Unified Studio
  • AWS Kinesis / Kafka (Real Time Streaming)
Key Responsibilities
  • Design and develop scalable batch and real time data ingestion frameworks.
  • Build and optimize data pipelines using AWS services and modern data engineering practices.
  • Develop low latency streaming solutions using Kinesis, Kafka, or similar technologies.
  • Implement data transformations, orchestration workflows, and monitoring solutions.
  • Work with Data Warehouses, Data Lakes, and Lakehouse architectures.
  • Collaborate with cross-functional teams to deliver robust and scalable data solutions.
Required Experience
  • Strong expertise in AWS, Python, PySpark, Airflow, and Redshift.
  • Hands on experience with SageMaker Unified Studio.
  • Experience with relational and NoSQL databases (Oracle, MongoDB, DynamoDB, Snowflake, Teradata, etc.).
  • Proven experience building real time and batch data pipelines.
  • Knowledge of CI/CD, Git, Infrastructure as Code (Terraform/CloudFormation).
  • Data Modelling experience is highly desirable.

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