Data Engineering Lead

Hub24; City of Melbourne; On-site; AUD 180,000 - 240,000; Full time

Job summary

HUB24 in Melbourne is seeking a thoughtful, collaborative Data Engineering Team Lead to guide the design, delivery, and evolution of our data platform and pipelines. You’ll ensure trusted, high-quality data supports product, operations, regulatory, and customer outcomes while mentoring engineers and shaping modern data architectures.

Working with Product Managers, Engineers, Analysts, and stakeholders, you’ll translate business needs into scalable data products, uphold security and governance,

Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, or related field.
• Experience leading or mentoring engineers.
• Proven delivery of complex data solutions in modern environments.
• Strong Databricks experience and high-volume data systems.
• Experience with GCP and managed data services.
• Understanding of data governance, security, privacy.
• Experience in Agile environments.

Responsibilities

• Lead, support, and develop a high-performing data engineering team.
• Mentor team members, supporting technical growth and career development.
• Design, develop, and maintain systems across Engage and myHUB platforms.
• Build and optimise Databricks-based workflows, including batch and real-time data pipelines.
• Guide the design of scalable, secure, and maintainable data architectures.
• Contribute hands‑on to development to ensure high-quality outcomes.
• Partner closely with Product, Engineering, Cloud, DevOps/SRE, Cybersecurity, and business stakeholders.
• Translate complex technical concepts into clear, accessible insights for decision‑making.
• Deliver prioritised initiatives, products, and capabilities on time and within budget.
• Define and implement target data architectures, sequencing plans, and platform capabilities.
• Ensure solutions align with enterprise architecture, standards, and governance frameworks.
• Embed secure‑by‑design principles, including data access controls, PII protection, and data governance.

Skills

Team leadership

Mentoring

Stakeholder collaboration

Communication

Architecture design

Education

Bachelor's degree in Computer Science

Tools

Databricks

GCP

Job description

Job Description

HUB24 leads the wealth industry as the best provider of integrated platform, technology and data solutions. At HUB24, we know the smartest investments start with our people. We are innovative and ambitious, and we move fast.

At HUB24, we empower our employees to bring their ideas and creativity to work. Rather than getting bogged down in bureaucracy and red tape, we build a culture that supports our team members to have a real impact on our business and the success of our customers.

HUB24 Limited is a company listed on the Australian Securities Exchange (ASX: HUB)

THE HUB24 STORY

We think creatively and we’re not constrained by traditional thinking or barriers to success. We’re led by experts, realists with ideas, grounded in commercial reality who are bold enough to visualise the future a little differently and to advocate for what matters to our clients. We are here to lead change and are committed to empowering better financial futures for more Australians.

Benefits and Life at HUB24

Learn more about our employee benefits HERE.

Job Summary

We’re looking for a thoughtful, collaborative, and technically strong Data Engineering Team Lead to guide the design, delivery, and ongoing evolution of our data platforms and pipelines across HUB24’s digital and enterprise landscape. In this role, you’ll help shape scalable, secure, and well-governed data solutions—ensuring trusted, high-quality data is available to support product, operational, regulatory, and customer outcomes. Working closely with Product Managers, Engineers, Analysts, and business stakeholders, you’ll translate business needs into meaningful, scalable data products and solutions, while ensuring reliability, performance, security, and cost-efficiency remain front of mind. This is a hands‑on leadership opportunity where you’ll balance strategic thinking with practical delivery, guiding modern data architecture (Databricks, GCP) while staying close to the detail when needed. You’ll play a key role in uplifting engineering practices, mentoring others, and fostering a culture of collaboration, learning, and continuous improvement.

Responsibilities

• Lead, support, and develop a high-performing, inclusive team of data engineers
• Mentor and coach team members, supporting both technical growth and career development
• Design, develop, and maintain systems across Engage and myHUB platforms
• Build and optimise Databricks-based workflows, including batch and real-time data pipelines
• Guide the design of scalable, secure, and maintainable data architectures
• Contribute hands‑on to development to ensure high-quality, fit-for-purpose outcomes
• Partner closely with Product, Engineering, Cloud, DevOps/SRE, Cybersecurity, and business stakeholders
• Translate complex technical concepts into clear, accessible insights for decision‑making
• Deliver prioritised initiatives, products, and capabilities on time and within budget
• Define and implement target data architectures, sequencing plans, and platform capabilities
• Ensure solutions align with enterprise architecture, standards, and governance frameworks
• Embed secure‑by‑design principles, including data access controls, PII protection, and data governance
• Maintain strong practices across data quality, testing, lineage, monitoring, and documentation
• Lead continuous improvement across security, resilience, and engineering practices
• Integrate AI capabilities where they add meaningful value
• Build strong stakeholder relationships and influence outcomes through collaboration

Requirements

• Bachelor’s degree in Computer Science, Data Engineering, or related field (or equivalent experience)
• Experience leading or mentoring engineers, with a passion for supporting and developing others
• Proven experience designing and delivering complex data solutions in modern environments
• Strong experience with Databricks (or similar platforms) and high‑volume data systems
• Experience with cloud‑native environments (GCP preferred) including managed data services and streaming
• Solid understanding of OLTP systems (NoSQL beneficial)
• Experience with modern data architectures including APIs, event‑driven systems, and microservices
• Knowledge of data warehousing, analytics ecosystems, and scalable reporting platforms
• Understanding of data governance, security, and privacy principles, including secure‑by‑design approaches
• Exposure to AI integration and emerging technologies is valued
• Experience working in Agile environments (SAFe or similar)
• Strong communication skills, with the ability to explain complex concepts in plain language
• Proven ability to manage competing priorities with clarity, care, and sound judgement
• Experience in regulated environments (financial services preferred)
• Awareness of privacy, encryption, data classification, and risk management practices

*As part of our process, a police check will be conducted on all successful candidates*. Further details on our HUB24 Group Recruitment Privacy Collection notice can be found here.

2024 Circle Back Initiative Employer – we commit to respond to every applicant.

Endorsed by WORK180 , we are proud to be recognised as an employer of choice for women.

We have been nominated and placed on the BOSS Best Places to work list.

Seek Star Awards 2024 - Nominated as a finalist for the Best Employer Brand Initiative

HUB24 is an equal opportunity employer. We are committed to creating an inclusive environment where diverse perspectives are valued and every individual is treated with respect. We welcome applications from people of all backgrounds, including Aboriginal and Torres Strait Islander peoples, people with disabilities, people from culturally and linguistically diverse communities, and people of all gender identities and sexual orientations. If you require adjustments to the recruitment process or have accessibility requirements, please let us know – we’re here to support you