Financial Data Engineer: Azure/Snowflake & Data Pipelines

Tallentire O'Flynn Movsowitz; Sydney; On-site; AUD 110,000 - 150,000; Full time

Job summary

Our client is a diversified Financial Services business seeking an experienced Data Engineer to join its Business Insights and Data Integration team in Sydney, Australia. The role offers exposure to financial markets data, APIs and modern cloud practices.

You will partner with the business to define data product requirements, build data access layers, maintain datasets with QA, streamline pipelines using Docker, and deploy to Virtual Machines, leveraging SQL, Azure, Snowflake, and Python or R.

Qualifications

• 3-5 years' experience in a Data Engineering / Analyst role with SQL and data warehousing.
• Experience with Python or R preferred.
• Exposure to Finance or Regulatory Reporting teams is highly regarded.

Responsibilities

• Partner with business to define data product requirements and solutions.
• Build and maintain data access layers and apply business logic.
• Monitor datasets and ensure quality through QA processes.
• Streamline automated data pipelines and distribute Docker images to Virtual Machines.
• Oversee system processes, troubleshoot issues, and resolve failures.
• Redesign and implement processes to evolving business needs.

Skills

SQL

Data warehousing

Azure

Snowflake

Python

R

Tools

Docker

Virtual Machines

Job description

Our client is a diversified Financial Services business seeking an experienced Data Engineer to join its Business Insights and Data Integration team in Sydney, Australia. The role offers exposure to financial markets data, APIs and modern cloud practices.

You will partner with the business to define data product requirements, build data access layers, maintain datasets with QA, streamline pipelines using Docker, and deploy to Virtual Machines, leveraging SQL, Azure, Snowflake, and Python or R.