Senior Data Engineer - AWS
Summary
A recruitment agency is hiring a Senior Data Engineer for a Financial Services client in Sydney to design, build, and deploy data pipelines and data products on AWS (Glue, S3, Athena, Airflow) using SQL, Python, and Scala, applying AI-assisted development tools within an Agile delivery squad.
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.