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 workplace.
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
- Around 5 years’ Data Engineering experience.
- Strong AWS data platform experience.
- Hands-on Glue, Airflow, Iceberg, Athena, Redshift
- Strong Python and Spark skills.
- Knowledge of Kafka and real-time streaming.
- Strong stakeholder and communication skills.
If you’re a data engineer looking to work with modern AWS data technologies on complex, high-impact data challenges, we’d love to hear from you.
Next steps... These are incredible opportunities to work on a very high profile programs of work, so please apply today by clicking
"Apply Now" or email your CV and covering letter to ***email_hidden***
📌 Data Engineer (Sydney)
🏢 M&T Resources
📍 Sydney
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