Job Description

Overview: n

We are seeking an experienced Data Engineer to join a large-scale program for an initial 3-month contract. The role will focus on building and optimising data pipelines in an Azure environment, working closely with technical teams to deliver efficient, high-quality data solutions.

Responsibilities: n

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- Design, build, and maintain ETL pipelines using Databricks and Spark SQL
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- Develop and optimise SQL queries for large-scale data transformation and performance
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- Extract and load data from source systems into Azure-based data warehouses and downstream platforms
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- Collaborate with data and integration teams to align data flows and resolve issues
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- Ensure data pipelines are reliable, efficient, and well-documented
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- Support testing, troubleshooting, and performance tuning activities
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Key Skills and Experience: nn
- Proven experience as a Data Engineer or similar role in a cloud environment
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- Strong expertise in Databricks and Spark SQL, including joins and query optimisation
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- Hands-on experience with ETL development and pipeline orchestration (Azure Data Factory desirable)
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- Solid SQL skills and ability to work with large datasets
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- Familiarity with Azure data services (Data Lake, Synapse, D365 exposure a bonus)
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- Solid problem-solving skills and ability to work collaboratively within cross-functional teams
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Interested candidates who meet the required skillset of the role are encouraged to apply via the link with an updated resume. Reference BIHI

Seniority level n

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- Mid-Senior level
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Employment type nn
- Contract
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Job function nn
- Information Technology
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Industries nn
- IT Services and IT Consulting
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📌 Data Engineer (Sydney)
🏢 Data#3
📍 Sydney