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Date Posted
Today
New!Remote Work Level
Hybrid Remote
Location
Hybrid Remote in Melbourne, VIC, Australia, Sydney, NSW, Australia

Job Schedule
Full-Time
Salary
We're sorry, the employer did not include salary information for this job.
Benefits
Health Insurance Paid Time Off
Categories
IT, SQL, Consulting, Data Entry, Product Manager, Project Manager
About the Role
Title: Data Modeler
Location:
- 727 Collins Street, 1 Collins Square, Docklands, Melbourne VIC 3008, Australia
- 100 Barangaroo Avenue, Tower One, International Towers Sydney, Sydney NSW 2000, Australia
Job Description:
We are seeking a talented individual to join our technology team at Mercer. This role will be based in Melbourne or Sydney. This is a hybrid role that has a requirement of working at least three days a week in the office.
Mercer is a global consulting firm that provides a wide range of services to organisations, including health and benefits consulting, retirement and investment solutions, workforce and career development, and mergers and acquisitions (M&A) advisory. The technology team serves the Mercer business across services. With strong foundations in place, we're focused on growing capability, lifting capacity, and creating a future-ready ecosystem. We don't settle for good enough - we ask what better looks like, every day.
The Data Modeler reports to the Head of Data and Analytics and will design the structures, relationships and constraints for implementation on a modern data platform, focusing on source to target transformation design and governance to support business needs.
We will count on you to:
- Work within the current data team and develop a deep understanding of current data structures across the Mercer Data Estate
- Collaborate with stakeholders to translate business needs into effective target state data models, defining transition state models as required
- Define and implement Data Modelling and Governance best practices and support scalability, performance, and data integrity
What you need to have:
- 5-7 years of experience in data modelling and data/delta lake design preferably within the Superannuation industry
- Strong knowledge of data and AI governance and best practices and hands-on implementation experience
- Proficiency with multiple data modelling tools and techniques
Preferred technology exposure:
- AWS</li>
- Databricks
- SQL Server
- CRM
What makes you stand out:
- Experience in financial services industry predominantly
- Familiarity with cloud data platforms and technologies such as AWS, Databricks and Lakehouse Architecture
- Strong communication skills to liaise between technical and business teams
Why join our team:
- We support your professional development through opportunities for growth, engaging work, and supportive leadership
- We foster a vibrant and inclusive culture where you can collaborate with talented colleagues to create impactful solutions for our clients and communities
- Our scale provides a range of career opportunities, along with competitive benefits and rewards to enhance your well-being
Applications can be considered from candidates who have the appropriate approval to work in Australia. Successful applicants will be required to complete a criminal & bankruptcy check prior to commencement of employment.
Marsh McLennan (NYSE: MMC) is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marshmclennan.com, or follow on LinkedIn and X.
Marsh McLennan is committed to creating a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.