Senior Data Engineer - AWS Spark & Cloud Pipelines

Novon; Sydney; On-site; AUD 140,000 - 180,000; Full time

Job summary

Novon is a Data, Engineering and Business Services Consulting Company headquartered in Sydney, Australia. We are seeking experienced Senior Data Engineers (Mid-Level and Senior) to join our Data Practice and support a major data transformation program within a leading financial services organisation.

You will contribute to migrating and modernising hundreds of bespoke data pipelines, building scalable, cloud-native data solutions on AWS while collaborating with a high-performing engineering and

Qualifications

• 8–10 years of experience as a Data Engineer in enterprise-scale environments.
• Hands-on experience building pipelines with Spark and PySpark.
• Strong knowledge of the AWS data ecosystem (Glue, S3, Starburst/Presto, Airflow, DBT).
• Experience designing and supporting complex data pipelines and data integration solutions.

Responsibilities

• Design, build, and optimise data pipelines using Spark / PySpark.
• Develop and maintain AWS-native data solutions with Glue, S3, Airflow, DBT, and Starburst/Presto.
• Support large-scale migration of legacy and bespoke data pipelines.
• Develop robust ETL/ELT processes using modern data engineering practices.
• Assist migration of data assets into cloud-based architectures.
• Contribute to data platform optimisation, automation, and continuous improvement.

Skills

Data engineering

Stakeholder engagement

Problem solving

Analytical skills

Communication skills

Tools

Spark

PySpark

AWS Glue

Glue Catalog

Amazon S3

Starburst/Presto

Apache Airflow

DBT

Job description

Novon is a Data, Engineering and Business Services Consulting Company headquartered in Sydney, Australia. We are seeking experienced Senior Data Engineers (Mid-Level and Senior) to join our Data Practice and support a major data transformation program within a leading financial services organisation.

You will contribute to migrating and modernising hundreds of bespoke data pipelines, building scalable, cloud-native data solutions on AWS while collaborating with a high-performing engineering and