Data and Senior Data Engineers

M&T Resources; Sydney; On-site; AUD 120,000 - 160,000; Full time

Job summary

M&T Resources is seeking a Senior Data Engineer to join a financial services data team, focusing on modern AWS data technologies and enterprise-scale data platforms. You will build scalable pipelines and data products from ingestion to analytics, reporting, and APIs, while collaborating with data owners and technology teams.

Required: 5–10 years in data engineering, strong Python and Spark, expertise in Kafka and real-time streaming, and excellent stakeholder communication.

Qualifications

• 5 to 10 years’ Data Engineering experience.
• Strong Python and Spark skills.
• Knowledge of Kafka and real-time streaming.
• Strong stakeholder and communication skills.

Responsibilities

• 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.

Skills

Python

Spark

Data engineering

Real-time streaming

Stakeholder communication

Tools

AWS

Glue

Airflow

Apache Iceberg

Athena

Redshift

Kafka

Job description

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.

• 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.

• 5 to 10 years’ Data Engineering experience.
• Strong AWS data platform experience.
• Hands-on Glue, Airflow, Iceberg, Athena, Redshift
• 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.