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Senior Data Consultant

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Job Description - Senior Data Consultant

Senior Data Consultant – Data & AI Team


📍 Location: Melbourne, Sydney or Brisbane (Hybrid)
Job Type: Permanent or Contract



Why Join Us?


At Antares Solutions, we’re a fast-growing consultancy helping businesses unlock the value of their data using modern Microsoft solutions. We work across various industries, tackling small and large-scale projects, from optimising business intelligence to implementing cutting-edge AI solutions.
We’re not just about delivering solution; we invest in our team. You’ll have dedicated time for learning and development, work in a flexible environment, and be part of a team that values collaboration, innovation and having fun.

If you’re passionate about data, love solving business problems, and want to grow your career with the latest Microsoft technology like Fabric, Power BI, and AI-driven solutions, this is the opportunity for you.




What You'll Do


As a Senior Data Consultant, you’ll work directly with clients to translate business needs into powerful data solutions. You’ll be involved in:



  • Engaging with stakeholders – Facilitate workshops, gather data requirements, and communicate insights to both technical and non-technical audiences, including senior executives.

  • Designing and implementing data solutions – Work with Power BI (DAX), Data Engineering (SQL), or both to create scalable analytics solutions.

  • Data modelling and architecture – Apply data best practices to ensure solutions are efficient, maintainable, and aligned with business objectives.

  • Collaborating on projects – Work on large enterprise initiatives or smaller agile projects, leveraging modern data platforms like Microsoft Fabric, Synapse, Snowflake, or Databricks.

  • Driving insights and value – Build dashboards, data pipelines, and AI-enhanced analytics that drive business decisions.

  • Growing your expertise – Stay ahead of industry trends with allocated learning time, access to Microsoft training, and opportunities to experiment with emerging AI-driven solutions.





What We’re Looking For


We're looking for a strong communicator with solid technical skills who enjoys working with businesses to solve data challenges. You don’t need prior consulting experience, but you should be comfortable engaging with stakeholders and presenting confidently.


Essential Skills & Experience



  • Business Intelligence OR Data Engineering expertise:

    • Power BI (DAX) – Intermediate level required.

    • SQL (for data engineering) – Expert level required.




  • Data fundamentals:

    • Understanding of data modelling principles and best practices.

    • Ability to workshop data requirements with business users.




  • Technical flexibility:

    • Experience in Synapse, Databricks, or Fabric.

    • Understanding of data pipelines, ETL, or analytics workflows.




  • Consulting-style soft skills (without needing prior consulting experience):

    • Strong presentation and communication skills.

    • Comfortable engaging with senior executives.

    • Ability to explain complex data concepts in simple terms.





What’s In It for You?



  • Career Growth – Work on projects that challenge you, with opportunities to develop into senior roles.

  • Work Flexibility – Choose where and how you work, whether from home, hybrid, or office.

  • Dedicated Learning Time – We allocate time for self-development, certifications, and skill-building.

  • Work with Cutting-Edge Tech – Get hands-on experience with Microsoft Fabric, AI-driven solutions, and cloud data platforms.

  • Varied Industry Experience – Work across industries, from education to finance, helping businesses make data-driven decisions.



Who This Role is For


This role is perfect for someone who wants to:



  • Move from an existing consulting role, technical pre-sales role, or internal data role into a more dynamic, project-driven environment.

  • Work on a variety of data projects instead of being stuck with one internal system.

  • Be part of a team that values flexibility, innovation, and career progression.






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