Snowflake Data Engineer – Banking

PM-Partners Group; Sydney; On-site; AUD 130,000 - 190,000; Full time

Job summary

PM-Partners group is a specialist Project Management Consultancy delivering training and advice to clients. An Australian bank is seeking a Snowflake Data Engineer to design and implement Snowflake data solutions within a complex enterprise environment.

This hands-on role focuses on building data pipelines, developing scalable data capabilities, and delivering reliable data solutions. You will collaborate with data engineering, architecture and technology teams to meet business requirements and

Qualifications

• Snowflake Data Engineer with hands-on Snowflake experience.
• Strong SQL skills including data modelling and optimization.
• Experience building data pipelines using ETL/ELT processes.
• Familiarity with Python and data transformation tools.

Responsibilities

• Design, build and optimize Snowflake databases, schemas, tables and data models.
• Develop and maintain data pipelines to support ingestion, transformation and integration.
• Write complex SQL queries and performance-tune data transformations.
• Collaborate with data engineering, architecture and technology teams to deliver technical solutions.
• Support testing, deployment and release activities following engineering standards.
• Identify opportunities to improve data processing and pipeline reliability.

Skills

Snowflake Data Engineer

Advanced SQL

Data modelling

ETL/ELT

Python

Tools

dbt

Informatica

Azure Data Factory

Job description

PM-Partners group is a specialist Project Management Consultancy. We have a unique way of running projects and providing training and advice, so our clients get the best results with less cost and risk. Each year we deliver over $3B of projects, train over 10,000 people, and help some of Australia’s leading brands improve their PMOs.

A leading Australian bank is seeking an experienced Snowflake Data Engineer to join its technology team, supporting the build and delivery of data solutions within a complex enterprise environment.

This is a hands-on development role focused on building and enhancing Snowflake solutions, developing data pipelines and delivering reliable, scalable data capabilities to support business and technology requirements.

Key Responsibilities

• Design, build and develop data solutions within Snowflake, including databases, schemas, tables, views and data models.
• Develop and maintain data pipelines and ETL/ELT processes to support data ingestion, transformation and integration.
• Write complex SQL queries and implement data transformations, ensuring data quality, accuracy and performance.
• Work closely with data engineering, architecture and technology teams to translate requirements into technical solutions.
• Support testing, deployment and release activities, following established development standards and engineering practices.
• Identify opportunities to improve data processing, pipeline performance and the reliability of Snowflake solutions.

Skills and Experience

• Demonstrated experience as a Snowflake Data Engineer, Snowflake Developer or in a similar data engineering role.
• Strong hands‑on experience building and developing solutions within Snowflake.
• Advanced SQL skills, including complex queries, data modelling and query optimisation.
• Experience building data pipelines and working with ETL/ELT processes.
• Experience with Python and data transformation or integration tools such as dbt, Informatica or Azure Data Factory would be advantageous.
• Understanding of development lifecycle practices, including source control, testing and CI/CD.
• Experience working within large enterprise environments, ideally within banking or financial services.