SKILLS:

• Strong problem-solving and analytical skills
• Proficiency in data processing languages (e.g., SQL, Python)
• Expertise in at least one software language (e.g. Python)
• Expertise in designing and implementing data architectures
• Ability to develop efficient data processing frameworks and pipelines for batch and real time requirements
• Familiarity with API integration and data service delivery
• Knowledge of database performance optimisation and data caching
• Experience with data security and governance practices
• Excellent communication and collaboration skills
• Proficiency in version control systems (e.g., Git)

OUR PURPOSE

✅ Empower Australian businesses to trade confidently with their customers.

YOUR ROLE & TEAM

We are excited to launch a newly created role as a Data Engineer Manager.
In this role, you will be a people manager, leading a cross-functional team that designs and implements data-centric architectures within our applications.
Your focus will be to establish best practices for our data engineering function whilst being the technical manager of our Commercial Data as a business asset.
You’ll provide people leadership, technical direction and architectural guidance while maintaining hands-on involvement in critical technical decisions and implementations.

WHAT YOUR TEAM IS COLLECTIVELY RESPONSIBLE FOR DELIVERING:

• Design and implement data pipelines and models to support customer-facing applications and rapid product iteration.
• Deliver data to product applications via API, files and tables with a focus on performance and scalability.
• Source and ingest data from internal and external applications via database transfer, API, and other mechanisms.
• Implement data technology, governance, and stewardship of our Commercial Data.
• Build and maintain ML architectures and technology for Data Scientists that support both batch and real-time inference.
• Drive technical excellence and innovation within the data domain.

WHAT YOU AS THE LEAD WILL BE RESPONSIBLE FOR:

• Provide technical leadership to ensure the team delivers on its purpose and impact.
• Develop and grow the individuals within the team and their careers.
• Architect and oversee software and data architectures that align with product needs and technology strategy.
• Establish data modelling standards and best practices for consistency and quality.
• Set direction for data processing frameworks, ETL processes, and data pipelines.
• Collaborate with software engineering leads on API strategies and cross-functional initiatives.
• Define data security, governance, and compliance frameworks.
• Drive database performance optimisation and caching strategies.
• Foster a culture of technical excellence, innovation, and continuous learning.
• Lead the team in agile development processes.
• Communicate complex data concepts to technical and non-technical stakeholders.
• Evaluate emerging technologies and develop implementation roadmaps.