Senior Data Engineer - AWS

T+O+M Executive; Sydney; On-site; AUD 180,000 - 240,000; Full time

Job summary

T+O+M Executive is recruiting a Senior Data Engineer for a leading Financial Services client in Sydney to design, build and deploy scalable data solutions that drive business value.

The role focuses on data ingestion and integration, leveraging AWS data services (Glue, S3, Athena) and Airflow to orchestrate pipelines.

You will collaborate with stakeholders in an Agile delivery environment, evolve the data platform, and push for improved performance and reusable data assets.

Qualifications

• Extensive experience in data engineering with cloud platforms.
• Hands-on AWS data environments (Glue, S3, Athena, Airflow).
• Strong SQL, Python and Scala experience.
• Experience in analytics delivery within an Agile team.

Responsibilities

• Design, build and deploy data solutions for the business.
• Ingest and integrate data from multiple sources.
• Develop and support data products and platforms.
• Deliver pipelines and improve capabilities and performance.
• Collaborate with business stakeholders to meet data engineering requirements.
• Evolve the data function's capabilities to drive efficiencies.

Skills

AWS Glue

S3

Athena

Airflow

SQL

Python

Scala

Cloud platforms

Agile

Stakeholder management

Job description

We are currently looking for a Senior Data Engineer for one of our leading Financial Services clients, working to design, build and deploy data solutions for the business.

As a part of this strategy, a key focus of the work will be data ingestion and integration, whilst using AI assisted development tools, that will drive value and greater insights and valuable data assets across the organisation.

Contribute and leverage data engineering principles, pipelines, frameworks, patterns, tooling, processes and standards. Support and development of the data products and platform.

Work as a Senior Data Engineer within the squad, delivering pipelines and improve existing capabilities and performance.

Collaborate and engage with business stakeholders to ensure data engineering requirements and builds are met.

Contribute to evolving the function's capabilities to drive efficiencies and uplift the strategy.

Required Skills & Experience:

Extensive experience in Data Engineering , as well as exposure to Cloud Data Platforms.

Expert level hands‑on experience in AWS cloud data environments (AWS Glue, S3, Athena, Airflow).

Strong big data and query language skills (SQL, Python, Scala).

Extensive experience working in an analytics technical delivery team, utilising stakeholder management skills in an Agile environment.