Data Engineer
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Engineering Lead - Data
- Lead data engineering team, drive data platform strategy and delivery
- 8+ years cloud-based data platform and engineering experience
- Databricks, Snowflake, AWS, dbt, Airflow, Python, SQL
We are seeking a talented individual to join our Data 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.
As a Data Engineer, you’ll collaborate closely with a passionate team of data architects, scientists, modelers, developers, and business analysts to build and enhance data and analytics platforms that drive smarter decisions and meaningful outcomes across Mercer. Your work will help unlock insights that improve lives and shape the future.
We will count on you to:
- Implement a comprehensive, thoughtful, and best-in-class data ingestion, processing and delivery capabilities to support this line of business
- Build reusable and scalable data pipelines and new API integrations to support continuing increases in data volume and complexity
- Work in tandem with source system and application teams to integrate and establish data pipelines
- Understand data landscape i.e., tooling, tech stack, source systems etc and work closely with extended platform teams to improve data collection, quality, reporting and analytics capabilities
- Collaborate 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 across the organisation
- 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, with an ability to see and solve issues before they affect business productivity
- Actively contribute toward our culture of continuous learning by proactively identifying and adopting best practices
What you need to have:
- 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 environment with rapidly changing expectations and requirements (Agile)
What makes you stand out:
- Prior experience working in wealth management/superannuation
- Experience in AI, both classical Machine Learning and Generative AI
Why join our team:
- We help you be your best through professional development opportunities, interesting work and supportive leaders
- We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities
- Our scale enables us to provide a range of career opportunities, as well as 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.
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 Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.