Senior Data Engineer

Launch Recruitment Pty Ltd; Sydney; On-site; AUD 140,000 - 210,000; Full time

Job summary

Launch Recruitment Pty Ltd is seeking a Senior Data Engineer to join a growing IT team in a large enterprise. You will drive the design, build, and optimisation of an Enterprise Data Warehouse, leveraging Snowflake, DBT and SQL to deliver scalable data solutions for analytics and decision-making.

This role sits in a claims-focused transformation, with greenfield initiatives to migrate data pipelines, model data, and enable analytics for business users, in an Azure/AWS environment, aligned with

Qualifications

• 7-8+ years' experience in data engineering or data warehousing roles.
• Strong hands-on experience with Snowflake, DBT, and SQL (essential).
• Experience with DataOps/DevOps practices, ideally within an Azure environment.
• Proven experience in data modelling and enterprise data warehouse design.
• End-to-end data warehousing (ETL/ELT, modelling, analytics enablement).
• Experience with SQL-based data tools and modern data platforms.
• Exposure to AWS is beneficial.
• Background in insurance or claims data is preferred.
• Excellent communication with technical and non-technical stakeholders.

Responsibilities

• Design, build, and maintain scalable data pipelines and data warehouse solutions.
• Develop and optimise data models to support analytics and reporting use cases.
• Collaborate with stakeholders to understand data needs and deliver high-quality data.
• Contribute to DataOps/DevOps practices, including PRs, deployments, and CI/CD.
• Support and improve existing data pipelines and warehouse structures.
• Work in an agile delivery environment to deliver incremental value.

Skills

Snowflake

DBT

SQL

Data modelling

DataOps/DevOps

Azure

SAFe

Tools

Informatica IDMC

Job description

About the Role

An exciting opportunity is available for a Senior Data Engineer to join a growing Information Technology team within a large, enterprise environment. In this role, you will play a key part in executing the organisation's data strategy, contributing to the design, build, and ongoing enhancement of an Enterprise Data Warehouse. You'll work closely with engineers, architects, and business stakeholders to deliver scalable data solutions that support advanced analytics and decision-making.

This position sits within a Claims-focused enterprise squad, supporting a major transformation initiative. You will be involved in migrating and modernising data pipelines (including large volumes of SharePoint-based data) into Snowflake, modelling data, and enabling analytics capabilities for business users.

This is a greenfield project, offering the opportunity to shape new solutions while leveraging existing platforms and best practices already established across the organisation.

Key Responsibilities

• Design, build, and maintain scalable data pipelines and data warehouse solutions
• Develop and optimise data models to support analytics and reporting use cases
• Work with stakeholders to understand data requirements and deliver high-quality data solutions
• Contribute to DataOps/DevOps practices, including pull requests, deployments, and CI/CD processes
• Support and continuously improve existing data pipelines and warehouse structures
• Collaborate within an agile delivery environment to deliver incremental value

What We're Looking For

• 7-8+ years' experience in data engineering or data warehousing roles
• Strong hands-on experience with Snowflake, DBT, and SQL (essential)
• Solid experience with DataOps/DevOps practices, ideally within an Azure environment
• Proven experience in data modelling and enterprise data warehouse design
• End-to-end data warehousing experience (ETL/ELT, modelling, reporting/analytics enablement)
• Experience working with SQL-based data tools and modern data platforms
• Exposure to AWS is beneficial
• Experience with Informatica Intelligent Data Management Cloud (IDMC) is highly regarded
• Background in insurance or claims data is preferred
• Strong analytical thinking and problem-solving capability (including working in environments with AI-assisted tooling)
• Experience working in agile frameworks (e.g. SAFe)
• Excellent communication skills and ability to engage with technical and non-technical stakeholders

Why Apply?

• Opportunity to work on a high-impact, enterprise-wide data transformation
• Greenfield initiative with strong existing platform support
• Collaborative environment with experienced engineers and architectsExposure to modern data technologies and AI-enabled tooling

Additional information

• Migration Project
• Global Enterprise business
• 12-month contract