HUB24 Limited Logo

HUB24 Limited

Data Engineering Lead

Posted Yesterday
Be an Early Applicant
In-Office
Melbourne, Victoria, AUS
Senior level
In-Office
Melbourne, Victoria, AUS
Senior level
Lead a team of data engineers to design, build, and maintain Databricks-based data platforms and pipelines on GCP. Ensure scalable, secure, governed data architectures supporting product, operational, regulatory, and analytics needs. Mentor engineers, contribute hands-on, integrate streaming and batch solutions, embed secure-by-design and data governance practices, and collaborate with Product, Cloud, DevOps, Security, and business stakeholders to deliver prioritized data products.
The summary above was generated by AI

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

The Recruitment Process

  • Acknowledgement email once your application has been submitted. 

  • Our Talent team will start reviewing your application. If unsuccessful, you will be notified. 

  • If your application progresses to the next stage, our Talent team will be in touch to discuss your alignment with the role. 

  • If you’re a person with an impairment or disability, this is an opportunity to share with us any accessibility requirements that you may have for the role.

  • Should you require any accommodations to the recruitment process, please email [email protected], and one of our team will contact you. 

  • Interviews can happen virtually or face-to-face with the hiring manager or other members of the broader team. Depending on the role, there may be more than two interviews. 

  • Communication of outcomes to successful and unsuccessful candidates and feedback provided. 

*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

HUB24 Limited Hawthorn West, Victoria, AUS Office

Hawthorn West, Australia

Similar Jobs

14 Days Ago
In-Office or Remote
Australia
Mid level
Mid level
eCommerce • Retail
As a Data Engineer, you will develop and manage data pipelines, ensuring reliable data ingestion and delivery while optimizing for simplicity and performance.
Top Skills: GitPythonSnowflakeSQL
23 Days Ago
Hybrid
Melbourne, Victoria, AUS
Senior level
Senior level
Information Technology
Lead the delivery of scalable data platforms, design robust data architectures, and provide technical leadership while collaborating with stakeholders to deliver impactful data solutions.
Top Skills: AirflowAWSAzureDatabricksDbtSnowflake
5 Days Ago
Hybrid
Melbourne, Victoria, AUS
Mid level
Mid level
Artificial Intelligence • Cloud • Information Technology • Consulting • Cybersecurity • Big Data Analytics
The Data Engineer will design, build, and manage scalable data pipelines on GCP, ensuring data quality and operational excellence while collaborating with data teams.
Top Skills: BashBigQueryCloud ComposerDataflowDockerGitGoogle Cloud PlatformKubernetesPub/SubPythonTerraform

What you need to know about the Melbourne Tech Scene

Home to 650 biotech companies, 10 major research institutes and nine universities, Melbourne is among one of the top cities for biotech. In fact, some of the greatest medical advancements were conceptualized and developed here, including Symex Lab's "lab-on-a-chip" solution that monitors hormones to predict ovulation for conception, and Denteric's vaccine for periodontal gum disease. Yet, the thousands of people working in the city's healthtech sector are just getting started, to say nothing of the tech advancements across all other sectors.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account