Job Description

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Database (3NF) / data warehouse modelling (e.g. Star schema, Kimball, Snowflake, Hybrid) experience highly desirable

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Data engineering with ETL/ELT tools or code pipelines or data analytics experience

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Certification or working knowledge of Agile and Waterfall principles and methodologies

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Experience with DevOps & CI/CD desirable but not critical

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Experience with Data Lake, Data Mesh, AWS Cloud, Analytics, Cloud Reporting and/or Machine Learning desirable but not essential

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Demonstrated strengths in Microsoft SQL Server BI Stack (SSIS, SSRS, SSMS) and code scripting e.g. Linux/Unix Scripting (bsh, ksh), Powershell

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Experience with AWS S3, Apache Airflow, Glue, Qlik, SAP Business Objects desirable

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Experience with Atlassian products (Confluence, Jira) or MS Sharepoint desirable

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Experience with incident management tools and workflows (e.g.



support ticket applications)

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Understanding of business applications, interfaces and integrated operational environments

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Good understanding of Data Platforms, Data models and Reporting (including Dashboards)

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Customer & Outcome Focus

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Leading and developing self and others

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Innovation and creativity

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Integrity and values

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Energy and enthusiasm

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Versatile and adaptable approach

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Excellent interpersonal skills

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Excellent written and oral communication skills to C Level audience

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Drive and passion to succeed in a challenging business and company environment.

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Excellent financial analysis skills

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Structured thinking and problem solving

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📌 Data Engineer - MS SQL (Sydney)
🏢 CareCone Group
📍 Sydney