A Bachelor’s or Post-Graduate degree in Computer Science, Computer Engineering, Information Technology, or relevant field, and/or 3 years relevant experience.

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

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

Certification or working knowledge of Agile and Waterfall principles and methodologies

Experience with DevOps & CI/CD desirable but not critical

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

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

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

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





Experience with incident management tools and workflows (e.g. support ticket applications)

Understanding of business applications, interfaces and integrated operational environments

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

Effective stakeholder management skills

Customer & Outcome Focus

Leading and developing self and others

Innovation and creativity

Integrity and values

Energy and enthusiasm

Versatile and adaptable approach

Excellent interpersonal skills

Excellent written and oral communication skills to C Level audience

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

Excellent financial analysis skills

Structured thinking and problem solving

📌 Senior Data Engineer Sydney
🏢 Uniquehire
📍 Sydney