Job Description
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Lead enterprise data engineering while staying hands-on with design, development and delivery
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12-month contract + 12-month extension
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Must be an Australian Citizen with Baseline clearance - NV1 desirable
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Take on a senior data engineering role where you'll combine hands-on development with technical leadership across complex enterprise data initiatives.
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You'll work across data integration, ETL, analytical datasets and enterprise data platforms, providing technical direction while still getting into the detail of SQL, data modelling, code reviews and implementation.
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The Role
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As a Data Engineer, you'll work closely with architects, analysts, developers, testers and business stakeholders to deliver scalable and maintainable data solutions while helping improve engineering practices across the broader team.
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Your responsibilities will include:
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Designing and developing enterprise data integration solutions, ETL processes and analytical datasets
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Leading technical delivery of new data assets from design through to deployment and operational support
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Providing technical leadership through design reviews, code reviews and implementation guidance
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Developing and optimising SQL, data models and supporting technical solutions
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Improving data delivery frameworks,



development standards and engineering practices
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About You
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We're particularly interested in:
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Strong experience across enterprise data warehouse platforms such as MS SQL, Teradata, Snowflake, Redshift or Databricks
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Advanced SQL, including optimisation, troubleshooting and reverse engineering existing code
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Programming experience with Python, SAS, R and/or Java
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Robust understanding of data models, technical specifications and solution designs
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Experience working within DevOps environments, including version control and structured release management
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Experience with AWS, S3, Glue or equivalent cloud technologies would be highly regarded
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Why Consider the Opportunity?
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This role gives you the opportunity to step into a technical leadership position without moving away from hands-on engineering. You'll influence how data solutions are designed and delivered while continuing to work directly across SQL, ETL, data modelling and enterprise data platforms.
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You'll also have scope to improve engineering standards and practices across the team, including knowledge sharing and capability uplift.
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The role offers hybrid working, with a minimum of three days per week in the office and flexibility for the remaining two days, subject to agreement.

📌 Data Engineer (Canberra)
🏢 Talent
📍 Canberra