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, effective, 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 setting
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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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J-18808-Ljbffr

📌 Data Engineer Sydney (Australia)
🏢 Data#3
📍 Australia