Senior Data Engineer: Azure, PySpark & Pipelines

People First Bank; Brisbane; On-site; AUD 120,000 - 150,000; Full time

Benefits offered by this job

Paid parental leave

Hybrid working arrangements

Employee banking benefits and insureds

Career development & ongoing training

Employee Assistance Program

Volunteering days

Job summary

People First Bank is seeking an experienced Data Engineer to join the Data and Insights team in Australia. The role focuses on maintaining and improving the Data and Insight platform, ensuring stability, scalability and security while building data pipelines for analytics and reporting.

You will mentor junior team members, collaborate with internal and external stakeholders, and design end-to-end data solutions leveraging PySpark, Azure, SQL, Python and Power BI.

Qualifications

• Extensive experience in a similar data engineering role in a complex data environment.
• Hands-on experience with Azure Cloud Services.
• Proficient in SQL, PySpark, Python; strong data modeling and pipeline design skills.
• Experience with Azure DevOps, Git, and Azure Pipelines; familiarity with Power BI and PowerShell.

Responsibilities

• Develop and enhance in-house PySpark frameworks for standardized implementations.
• Mentor junior teammates and the analytics community.
• Collaborate with stakeholders to deliver high-quality data-driven solutions.
• Design end-to-end data engineering solutions and perform exploratory analyses.
• Deliver quality solutions with automated testing, documentation, and CI/CD using Azure DevOps.

Skills

PySpark

Python

SQL

Azure

Azure DevOps

Power BI

PowerShell

Azure Pipelines

Tools

Azure DevOps Git

Job description

People First Bank is seeking an experienced Data Engineer to join the Data and Insights team in Australia. The role focuses on maintaining and improving the Data and Insight platform, ensuring stability, scalability and security while building data pipelines for analytics and reporting.

You will mentor junior team members, collaborate with internal and external stakeholders, and design end-to-end data solutions leveraging PySpark, Azure, SQL, Python and Power BI.