Data Engineer

Overview Join us as a Data Engineer at Marsh McLennan , working with Mercer’s Data team in Melbourne or Sydney. This hybrid role requires onsite work at least three days per week. Mercer is a global consulting firm, and this position focuses on building and enhancing data and analytics platforms that drive smarter decisions and meaningful outcomes across the organization. Responsibilities Implement comprehensive, best‑in‑class data ingestion, processing, and delivery capabilities to support the business unit. Build reusable, scalable data pipelines and new API integrations as data volume and complexity grow. Collaborate with source system and application teams to integrate and establish data pipelines. Understand the data landscape (tooling, tech stack, source systems) and work with extended platform teams to improve data collection, quality, reporting, and analytics capabilities. Partner with analytics, data scientists, and business teams to improve data models that feed business intelligence and AI tools, increasing data accessibility and fostering data‑driven decision‑making. Participate in all aspects of the data platform development lifecycle, including planning, requirements, development, testing, and quality assurance. Troubleshoot incidents, identify root causes, fix, and document problems, and implement preventive measures. Demonstrate exceptional problem‑solving skills, proactively identifying and adopting best practices. Qualifications Excellent written and verbal communication skills in English. Bachelor’s degree (or equivalent) in computer science, information technology, or mathematics. 7+ years of relevant Data Ingestion/ETL with AI/automation design and development experience in mission‑critical data platforms and complex data ecosystems. Experience with Databricks, Snowflake, or similar modern platform architecture. Strong Python or similar development experience. Experience with schema design and implementation. Must have experience working in a fast‑paced, Agile environment with rapidly changing expectations and requirements. What Makes You Stand Out Prior experience in wealth management or superannuation. Experience in AI, both classical machine learning and generative AI. Why Join Our Team Professional development opportunities, interesting work, and supportive leadership. A vibrant and inclusive culture where you work with talented colleagues to create new solutions and have impact for clients and communities. Scale that enables a range of career opportunities and benefits that enhance 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 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. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All colleagues are expected to be in their local office or working onsite at least three days per week. #J-18808-Ljbffr