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Data Engineering Lead

Reads like a Data Leadership role: running a data team.

Melbourne

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s listing: Full time
From the employer’s posting
Apply at Hub24

What you’ll work on

Full posting
  • Lead, mentor and develop a team of data engineers

  • Build and optimise Databricks batch and real-time data pipelines

  • Guide the design of scalable, secure data architectures

  • Contribute hands-on to development work

  • Embed data access controls, PII protection and governance into solutions

From the employer’s posting
Lead, support, and develop a high-performing, inclusive team of data engineers
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
Embed secure-by-design principles, including data access controls, PII protection, and data governance

What you’ll bring

All qualifications

Core experience

  • Experience leading or mentoring engineers
  • Strong experience with Databricks (or similar) and high-volume data systems
  • Proven experience designing and delivering complex data solutions
  • Experience with cloud-native environments, managed data services and streaming
  • Bachelor's degree in Computer Science, Data Engineering or related field, or equivalent experience

Preferred experience

  • financial services preferred
Qualification wording
Experience leading or mentoring engineers, with a passion for supporting and developing others
Strong experience with Databricks (or similar platforms) and high-volume data systems
Proven experience designing and delivering complex data solutions in modern environments
Experience with cloud-native environments (GCP preferred) including managed data services and streaming
Bachelor’s degree in Computer Science, Data Engineering, or related field (or equivalent experience)
Experience in regulated environments (financial services preferred)
Education & alternatives
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

Tools in this posting

  • Databricks
  • GCP
  • NoSQL
Source — Tool mentions in context
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:
- 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
- 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
- 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 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

Posting record

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Open 4 monthsWe first saw this listing 122 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jun 23, 2026 · 122 days ago
Recorded sightings
98
Last seen by us
Oct 23, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

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  • Check the listed location, eligibility and core experience before starting.
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Job description

View original posting ↗

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 recruitment@hub24.com.au, 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

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Melbourne

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