Data Consultant
HybridMelbourne, Victoria, Australia
Job Summary
Own end to end technical delivery of moderately complex data solutions, from requirements clarification through to data engineering, testing, and handover. Apply sound judgement to resolve routine delivery issues and act as a trusted data advisor to clients, clarifying needs and explaining outputs. Contribute to team knowledge through documentation, peer support, and continuous improvement initiatives while maintaining clear, client-ready communication throughout delivery. This role applies sound judgement, business domain, and data engineering expertise to translate requirements into practical data solutions and client-ready outcomes.
Required Qualifications
- Bachelor's degree in data science, Computer Science, or a related field
- Hands on applied experience with data analysis, data engineering and data manufacturing / data warehousing
- Hands on experience with Microsoft Fabric, Azure Data Factory, Databricks, Snowflake
- Exposure to analytical programming languages (e.g., Python, R)
- Ability to understand and capture data requirements
- Consistent application of data standards and data engineering best practice
- Strong technical and consulting judgement
- Eagerness to contribute to problem-solving and solution design in a collaborative setting
- Initiative-taking attitude, strong willingness to learn, and a passion for a career in data solutions
- Familiarity to technology SDLC or Agile delivery practices
- Client ready written and verbal communication
- Focus on outcomes, not just task completion
Desired Qualifications
- Exposure to the Financial Services Industry will be well regarded
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