About the Role

We are looking for a skilled Data Engineer with strong expertise in Snowflake and AWS to join a leading organisation on an initial 6-month contract. This is an exciting opportunity to work on modern cloud-based data platforms, building scalable data pipelines and enabling data-driven decision-making across the business.

The ideal candidate will have hands-on experience with Snowflake and AWS data services, along with a strong foundation in data engineering best practices, ETL/ELT development, and cloud-native architectures.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and data integration solutions using Snowflake and AWS.
• Build and optimize ETL/ELT workflows to support analytics, reporting, and operational data needs.
• Develop data ingestion frameworks from various internal and external source systems.
• Work closely with business stakeholders, data analysts, architects, and engineering teams to deliver high-quality data solutions.
• Implement data quality, security, governance, and performance optimization best practices.
• Support cloud data platform enhancements, automation initiatives, and continuous improvement activities.
• Participate in code reviews, testing, deployment, and production support activities.
• Contribute to technical documentation and knowledge-sharing within the team.

Required Skills & ExperienceEssential

• 3–6 years of experience in Data Engineering or related roles.
• Strong hands-on experience with Snowflake.
• Strong experience working with AWS services, including: AWS Glue, AWS Lambda, Amazon S3, Amazon DynamoDB, AWS IAM
• Strong SQL development and data transformation skills.
• Experience designing and building ETL/ELT pipelines in cloud environments.
• Good understanding of data warehousing concepts and modern data architectures.
• Experience working in Agile delivery environments.

Desirable

Experience with:

• Matillion
• dbt (Data Build Tool)
• Python scripting
• CI/CD pipelines
• Git/GitHub
• Infrastructure-as-Code concepts
• Exposure to data quality and data governance frameworks.

Nice to Have

• Experience working with Guidewire and/or Fineos platforms.
• Prior experience within the Insurance domain.
• Exposure to policy, claims, underwriting, or customer data platforms.

What We're Looking For

• Strong problem-solving and analytical mindset.
• Ability to work independently while collaborating effectively within a team.
• Excellent communication and stakeholder engagement skills.
• Passion for building scalable, reliable, and high-performing data solutions.
• Eagerness to learn and adapt to new technologies and business domains.

Pay: $750.00 – $770.00 per day

Application Question(s):

• How many years of hands-on experience do you have working with Snowflake in a production environment?
• Do you have experience designing and developing ETL/ELT data pipelines using Snowflake and AWS?

Work Location: Hybrid remote in Sydney NSW