Data Product Engineer (bi & Ai Data Products)

RSL LifeCare

St Leonards, Australia
Base: not specified; bonus/equity: not specified; ...
Not specified
Dimensional modelling (kimball)
Enterprise semantic model design
Power bi semantic modelling
RSL LifeCare is seeking a Data Product Engineer to design, build, and maintain data products that enhance their analytics capabilities, particularly in support of veterans and seniors. The role requires strong technical skills in data modeling, Power BI, SQL, and experience with Microsoft Fabric, along with a commitment to the organization's mission of care

Job Summary

  • Design, build, and maintain reliable, reusable data products that support everything from day-to-day reporting to advanced analytics and AI.
  • Your work will play a key part in getting the organisation ready for AI and helping us scale our analytics capability in a safe and efficient way.
  • RSL LifeCare offers not-for-profit tax benefits, staff discounts, fitness passport, and leave loading.

Matching Summary

Match Score: 84

RSL LifeCare is seeking a Data Product Engineer to design, build, and maintain data products that enhance their analytics capabilities, particularly in support of veterans and seniors. The role requires strong technical skills in data modeling, Power BI, SQL, and experience with Microsoft Fabric, along with a commitment to the organization's mission of care.

Salary

Base: Not specified; Bonus/Equity: Not specified; Benefits: Not-for-profit tax benefits - salary packaging up to $15,900 per year; Staff discounts; Fitness Passport; Leave Loading - 17.5%

Skills & Requirements

Must-have

  • Dimensional modelling (Kimball)
  • Enterprise semantic model design
  • Power BI semantic modelling
  • Microsoft Fabric experience
  • Strong SQL skills
  • Data quality rules implementation

Nice-to-have

  • Data governance familiarity
  • Python for data science
  • Data observability experience
  • Aged care/healthcare data experience

Key Requirements

  • Bachelor's degree in relevant field
  • Experience defining enterprise KPIs
  • Experience preparing datasets for AI
  • Ability to translate business concepts
  • Mandatory Police/NDIS check

Work Rights

Not specified

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