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AWS Data Engineer - Hybrid, 12-Month Contract

IngritySydney, Sydney🇦🇺AustraliaPosted 11 Sept 2026

Why This Role Stands Out

You'll have the opportunity to shape a cutting-edge cloud data platform in a hybrid Sydney role, leveraging modern AWS technologies to build impactful data solutions. This position is perfect for a mid-senior Data Engineer eager to grow their skills within a reputable organization and collaborate with a talented team. Apply now to contribute to this exciting transformation!

Quick Overview

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

Job Description

Sydney Hybrid 12 Month FTC

We're partnering with a well-established Australian organisation undertaking a major transformation of its cloud data platform. As part of a growing data and engineering team, you'll play a key role in designing, building and maintaining scalable data solutions that support analytics, reporting and business-critical decision making.

Data Engineer (AWS)

Sydney Hybrid 12 Month FTC

We're partnering with a well-established Australian organisation undertaking a major transformation of its cloud data platform. As part of a growing data and engineering team, you'll play a key role in designing, building and maintaining scalable data solutions that support analytics, reporting and business-critical decision making.

This is an excellent opportunity for a mid-level Data Engineer looking to work on modern AWS technologies, collaborate with experienced engineers and contribute to the evolution of a cloud-first data platform.

What You'll Be Doing

  • Design, build and maintain scalable data pipelines on AWS.
  • Develop and optimise ETL/ELT processes for structured and unstructured data.
  • Build reliable, secure and high-performing data solutions.
  • Integrate data from multiple internal and external sources.
  • Support data modelling and data warehousing initiatives.
  • Monitor pipeline performance and troubleshoot production issues.
  • Work closely with Data Engineers, Analysts, Architects and business stakeholders.
  • Contribute to best practices around automation, testing and CI/CD.

What We're Looking For

  • 3-6 years' experience as a Data Engineer.
  • Strong hands-on AWS experience.
  • Experience building and maintaining cloud-based data pipelines.
  • Strong SQL skills with experience optimising complex queries.
  • Experience with Python for data engineering and automation.
  • Exposure to modern ETL/ELT frameworks.
  • Experience working with data lakes and/or cloud data warehouses.
  • Understanding of data modelling and data quality principles.
  • Experience using Git and CI/CD practices.
  • Strong problem-solving skills and a collaborative mindset.

Nice to Have

  • Experience with AWS Glue.
  • Experience with Amazon Redshift.
  • Experience with Amazon S3.
  • Exposure to Apache Spark or PySpark.
  • Experience with Terraform or Infrastructure as Code.
  • Knowledge of Airflow or similar orchestration tools.
  • Experience working in Agile delivery teams.

Why Join Us?

  • Work on large-scale cloud and data transformation initiatives.
  • Modern AWS technology stack.
  • Collaborative engineering culture with experienced mentors.
  • Hybrid working environment.
  • Long-term career growth and learning opportunities.
  • Competitive salary and employee benefits.

Apply now for an immediate review

If you're passionate about building modern cloud data platforms and want to work with AWS technologies in a collaborative environment, we'd love to hear from you.

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