Praemium is a leading provider of next generation wealth management solutions, empowering advisers to deliver exceptional outcomes for high net worth clients.
The recent acquisition of Technotia Laboratories brings world class scientific, engineering and design expertise in house, significantly strengthening Praemium’s advanced technology, computing and machine intelligence capabilities.
By combining trusted wealth management experience with proprietary innovation, Praemium is setting a new benchmark for automation, precision and scalable advice delivery.
Continuous Improvement. Intelligent innovation. Client-first outcomes. The Praemium way.
We are seeking an experienced and technically strong Data Engineer to join our technology team. Reporting to the COO, this role is responsible for designing, building, and maintaining scalable data infrastructure that supports advanced analytics, research, machine learning, and data-driven products. Working closely with scientists, engineers, analysts, and operational stakeholders, you will develop reliable data pipelines, integrations, and models that enable high-quality analysis and intelligent automation across both internal and client-facing platforms. This role is suited to someone who enjoys solving complex technical problems, working with evolving technologies, and contributing to innovative, scalable solutions.
- Build and maintain scalable data pipelines that clean, transform, and aggregate data from multiple sources
- Design and model front-end and back-end data structures to support reporting, analytics, and machine learning initiatives
- Integrate internal and external systems, APIs, and data sources to ensure seamless and reliable data flow
- Collaborate with scientists, analysts, engineers, and stakeholders to translate complex requirements into practical data solutions
- Evaluate and implement scalable data storage solutions across relational, NoSQL, and cloud-based environments
- Optimise data storage, retrieval, and processing performance for scalability and reliability
- Implement data validation, monitoring, quality assurance, and security controls to maintain data integrity and compliance
- Monitor system performance, troubleshoot issues, and implement enhancements and continuous improvements
- Contribute to best-practice adoption, agile delivery processes, and innovation across data infrastructure
- Maintain clear technical documentation, workflows, and standards to support collaboration and knowledge sharing
- Strong knowledge of database systems, data modelling techniques, and SQL
- Experience with big data technologies and frameworks
- Proficiency in programming languages commonly used in data engineering
- Excellent problem-solving and analytical skills with strong attention to detail
- Positive, proactive, and solution-focused approach
- Strong communication and collaboration skills with the ability to work effectively across technical and non-technical teams
- Ability to adapt to evolving technologies and business requirements
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related discipline
- 5+ years’ experience in data engineering, software development, or a related technical role
- Permanent full-time opportunity
- Annual bonus opportunity
- Access to wellness programs and discounted retail gift cards, helping you save on everyday purchases
- Opportunity to work on innovative technologies, advanced analytics, and intelligent automation solutions
- Collaborative and high-performing technology environment with exposure to cutting-edge systems and infrastructure
- Modern office with end-of-trip facilities at 8 Exhibition Street, Melbourne
Please apply with your CV, emphasising how your experience and career aligns with the key responsibilities of this role.
Applicants must have full working rights in Australia. This role requires full-time, in-person work in our office and laboratory environment; remote or hybrid arrangements are not available for this position.
Employment is subject to satisfactory background checks, which may include police checks, reference checks, qualification verification, and working rights verification.
Please visit https://www.praemium.com/ for more information
