A leading commercial organisation is looking for a Senior Data Engineer to join their highly engaged technology team.

You will be working as part of an engaging and highly focused team, collaborating to deliver across the Data Transformation Program. You will be responsible for the timeliness and accuracy of data flow from source systems and the optimisation of data storage for accessibility to meet the business real time data needs.

What you'll need to succeed

• Strong experience in using and troubleshooting Databricks Delta Live Tables (DLT) and Autoloader.
• Expertise in PySpark and SQL, particularly for ELT workloads involving JSON file flattening.
• Skilled in Spark tuning and performance optimisation for big data.
• Experienced in data modelling.
• Designed and implemented changes to metadata-driven frameworks (SQL Server, Azure Data Factory, Databricks).
• Proficient in using Azure DevOps pipelines to deploy data platform solutions.
• Knowledge of SAP
• An excellent communicator with the ability to work directly with business stakeholders.

What you'll get in return

• 12-month contract
• Daily rate up to $1100 inclusive of Super
• Engaging and collaborative team environment

What you need to do now

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.

If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.