Senior Data Engineer: AI-Powered Data Pipelines (Hybrid)

Westpac Group; Gold Coast City, Sydney; Hybrid; AUD 150,000 - 190,000; Full time

Benefits offered by this job

Flexible work arrangements

Employee mortgage rates

Learning & Development opportunities

Volunteer opportunities

Job summary

Westpac Group is seeking a Senior Data Engineer for a hybrid role based in Gold Coast or Sydney. You will build scalable data pipelines, optimise data products and support enterprise transformation initiatives across platforms.

You will contribute to data architecture, governance and production readiness, mentor engineers, and partner with cross-functional teams to translate complex data into actionable insights, including AI and automation initiatives.

Qualifications

• Strong hands-on experience building and optimising data pipelines using Python and SQL.
• Experience working with modern data platforms and frameworks including Spark, Kafka and cloud technologies such as Azure Synapse, Data Lake or Snowflake.
• Solid understanding of data architecture, modelling and governance, with the ability to design scalable and reliable solutions.
• Proven ability to translate technical concepts into meaningful business insights and outcomes.
• Experience contributing to large scale transformation initiatives, with a focus on innovation through AI and automation

Responsibilities

• Design, build and optimise scalable data pipelines.
• Contribute to data architecture and governance.
• Ensure production readiness and deployment processes across platforms.
• Mentor engineers and collaborate with stakeholders.
• Drive innovation through AI and automation initiatives

Skills

Python

SQL

Informatica

Unix scripting

Tools

Spark

Kafka

Azure Synapse

Data Lake

Snowflake

Job description

Westpac Group is seeking a Senior Data Engineer for a hybrid role based in Gold Coast or Sydney. You will build scalable data pipelines, optimise data products and support enterprise transformation initiatives across platforms.

You will contribute to data architecture, governance and production readiness, mentor engineers, and partner with cross-functional teams to translate complex data into actionable insights, including AI and automation initiatives.