Analytics Engineer - Data Pipelines & Cloud Modernization

Suncorp Group; City of Brisbane; Hybrid; AUD 120,000 - 160,000; Full time

Benefits offered by this job

Hybrid working

Performance-based incentives

Suncorp shares for eligible employees

Paid parental leave (20 weeks)

Paid study support

Volunteer leave

Job summary

Suncorp Group is expanding its Pricing and Analytics team in Australia to build trusted data products that support pricing, modelling and strategic decisions. You will transform raw data into ready-to-use tables for analysts, data scientists and actuaries, translating business requirements into practical solutions that improve data quality and analytical outcomes.

You will modernise legacy SAS processes through Databricks, automation and scalable engineering practices while collaborating with

Qualifications

• Bachelor's degree in data science, computer science, statistics, mathematics, engineering or another quantitative discipline.
• At least two years of analytics engineering, data engineering or related experience.
• Practical SQL or PySpark skills to develop data pipelines and analytical data models.
• Experience with cloud data platforms like Databricks, Snowflake or similar.

Responsibilities

• Design, develop and maintain analytical data pipelines that produce reliable, ready-to-use data.
• Automate recurring analytical and reporting processes to improve efficiency and consistency.
• Embed data quality, lineage and governance standards across analytical solutions.
• Monitor production pipelines and resolve issues before they affect business outcomes.
• Migrate legacy SAS processes to Databricks and optimise workflows using platform capabilities.
• Partner with stakeholders to understand requirements, gather feedback and refine outputs.

Skills

SQL

PySpark

Education

Bachelor's degree in a quantitative field

Tools

Git

Linux command-line

Databricks

Snowflake

Job description

Suncorp Group is expanding its Pricing and Analytics team in Australia to build trusted data products that support pricing, modelling and strategic decisions. You will transform raw data into ready-to-use tables for analysts, data scientists and actuaries, translating business requirements into practical solutions that improve data quality and analytical outcomes.

You will modernise legacy SAS processes through Databricks, automation and scalable engineering practices while collaborating with