Senior Data Engineer
Sydney | Hybrid (2-3 days in office) | Up to $190,000 incl. super

We're partnering with a well-known enterprise organisation undergoing a significant uplift of its cloud data platform, and they're looking for a Senior Data Engineer to join a high-performing team delivering core data platform capability.

This is a genuinely impactful role working on a business-critical data platform transformation, helping modernise how data is ingested, processed, and consumed across the organisation.

You'll be joining a collaborative engineering team focused on building scalable, cloud-native data solutions that support both BAU operations and strategic data initiatives.

What you'll be doing:

• Designing, building and optimising scalable data pipelines in Azure
• Developing data solutions using Azure Synapse Analytics and PySpark
• Working extensively with Spark notebooks and Synapse workspaces
• Supporting the ongoing evolution of the organisation's cloud data platform
• Building robust ETL / ELT pipelines for structured and semi-structured data
• Partnering with architects, engineers and business stakeholders to deliver high-quality data solutions
• Driving engineering best practice across performance, scalability and maintainability
• Contributing to both project delivery and BAU platform improvement

Tech environment:

• Azure Synapse Analytics
• PySpark / Apache Spark
• Azure Data Platform
• SQL
• Data modelling
• ETL / ELT pipeline development
• CI/CD exposure highly regarded
• Broader Azure ecosystem experience beneficial

What we're looking for:

• Strong experience as a Senior Data Engineer in enterprise environments
• Deep hands-on expertise with Azure Synapse + PySpark
• Strong understanding of modern cloud data engineering patterns
• Experience building scalable data pipelines and distributed data processing workloads
• Strong SQL and data modelling capability
• Ability to work closely with technical and non-technical stakeholders
• Someone who enjoys solving complex platform and data engineering challenges

Nice to have:

• Exposure to Azure Data Factory or Microsoft Fabric
• Experience in regulated or large-scale enterprise environments
• Infrastructure-as-code / DevOps exposure

This is a great opportunity to join a business investing heavily in its data capability, where you'll have real ownership and visibility while working with modern cloud technologies.

Apply now or reach out directly for a confidential discussion.