Senior Data Engineer - Cloud Data

Senior Data Engineer - Cloud Data Modernisation

Contract Opportunity Sydney, NSW

Our client is a well-established technology consulting organisation delivering large-scale digital transformation and cloud modernisation projects for enterprise and government customers across Australia. They are recognised for providing innovative data, cloud, and technology solutions that support critical business outcomes.

The end client is a large organisation undertaking a significant cloud transformation initiative focused on modernising legacy data platforms and establishing scalable, cloud-native data capabilities. This programme will support improved analytics, reporting, operational efficiency, and long-term data strategy.

An exciting opportunity exists for an experienced Senior Data Engineer to play a key role in modernising a legacy Microsoft SQL Server data platform and transitioning it to AWS-native services. You will be responsible for designing, building, and optimising scalable cloud data solutions while supporting the migration of databases, ETL processes, reporting platforms, and analytical workloads.

• Modernise SQL Server databases to Amazon Aurora PostgreSQL.
• Analyse and convert SSIS ETL workflows into AWS Glue jobs and workflows.
• Migrate analytical workloads and legacy data warehouse capabilities into Amazon Redshift.
• Redevelop reporting and dashboard solutions using AWS-native technologies.
• Design and build scalable data ingestion, transformation, and reporting solutions.
• Develop and optimise database structures, schemas, and performance.
• Implement and maintain CI/CD pipelines for data and database deployments.
• Establish data quality, monitoring, and operational support frameworks.
• Collaborate with architects, developers, business stakeholders, and reporting teams.
• Support testing, reconciliation, cutover activities, and post-production support.

• 5+ years' experience in Data Engineering and Database Engineering.
• Strong SQL development and database performance tuning expertise.
• Hands-on experience with AWS data services, including:
  • Amazon Aurora PostgreSQL
  • AWS Glue
  • Amazon Redshift
  • AWS QuickSight
• Experience with AWS DMS and AWS Schema Conversion Tool will be highly regarded.
• Strong data modelling and database design skills.
• Proficiency with Python and/or PySpark.
• Proven experience delivering ETL/ELT pipelines and cloud-native data solutions.
• Experience working with Git, CI/CD pipelines, DevOps practices, and Agile methodologies.
• Understanding of data governance, security, and operational support requirements.

• Opportunity to work on a large-scale cloud data transformation programme.
• Exposure to modern AWS data and analytics technologies.
• Collaborative and high-performing project environment.
• Long-term project potential with significant technical impact.
• Opportunity to shape future-state cloud data architecture and analytics capability.