Data and Senior Data Engineers
Summary
Senior data engineer on a Data & Integration Platform team inside a leading financial services organisation in Sydney, building enterprise-scale data pipelines and products end to end. Core stack is AWS — Glue, Airflow, Iceberg, Athena, Redshift, DataZone — plus Python, Spark and Kafka real-time streaming.
- Dynamic projects & large programs of work
Data and Senior Data Engineers– AWS | Glue | Airflow
We’re looking for a Senior Data Engineer to join a high-performing Data & Integration Platform team within a leading financial services organisation.
This is a hands‑on opportunity to work on modern, enterprise-scale data platforms, building scalable data products and pipelines across a complex technology environment.
You’ll be working across AWS, Glue, Airflow, Apache Iceberg, Athena, Redshift and DataZone, building and evolving data products from ingestion through to analytics, reporting and APIs.
The Role:
- Build and evolve enterprise data pipelines and products.
- Develop solutions across ingestion, curation, storage and distribution.
- Partner with data owners, SMEs and technology teams.
- Build real-time streaming solutions using Kafka and AWS.
- Develop reusable data frameworks and standards.
What We’re Looking For:
- 5 to 10 years’ Data Engineering experience.
- Strong Python and Spark skills.
- Knowledge ofKafka and real-time streaming.
- Strong stakeholder and communication skills.
If you’re a senior data engineer looking to work with modern AWS data technologies on complex, high-impact data challenges, we’d love to hear from you.