We're looking for a skilled
Data Engineer
to join a high-performing Data & Integration Platform team within a leading financial services organisation.
This is a hands-on prospect 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.
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
Python and Spark
skills.
Knowledge of
Kafka
and real-time streaming.
Strong stakeholder and communication skills.
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.
#J-*****-Ljbffr

📌 Data Engineer (Sydney)
🏢 M&T Resources
📍 Sydney