Data Engineering Lead

Posted Yesterday
Be an Early Applicant
Melbourne, Victoria, AUS
In-Office
Senior level
Fintech • Software • Financial Services
The Role
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.
Summary Generated by Built In

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

Skills Required

  • Bachelor's degree in Computer Science, Data Engineering, or related field (or equivalent experience)
  • Experience leading or mentoring engineers and developing high-performing teams
  • Proven experience designing and delivering complex data solutions in modern environments
  • Strong experience with Databricks or similar platforms
  • Experience with cloud-native environments (GCP preferred)
  • Solid understanding of OLTP systems
  • Experience with NoSQL databases
  • Experience with APIs, event-driven systems, and microservices
  • Knowledge of data warehousing, analytics ecosystems, and scalable reporting platforms
  • Understanding of data governance, security, privacy, and secure-by-design principles
  • Exposure to AI integration and emerging data technologies
  • Experience working in Agile environments (SAFe or similar)
  • Experience in regulated environments (financial services preferred)
  • Strong communication skills and ability to translate technical concepts for stakeholders
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Sydney, NSW
859 Employees

What We Do

HUB24 Group (ASX:HUB) leads the wealth industry as the best provider of integrated platform, technology and data solutions, and we’re not done yet. At HUB24, we believe in the value of advice and by collaborating with the industry and leveraging our technology and data expertise, we’re helping to solve key challenges to enable the delivery of accessible financial advice, and empower better financial futures for more Australians. Our solutions include Australia’s best platform HUB24, leading SMSF software Class, and myprosperity’s innovative client portal technology. Recognised by advisers and the industry as Australia’s best platform, HUB24 leverages data and technology to deliver choice, flexibility, efficiencies and value for advisers and their clients. We’re committed to continued investment in innovation that delivers, making the complex simple and enabling advisers to empower better financial futures for more Australians. As a leading provider of SMSF software, Class, together with NowInfinity, delivers trust accounting, portfolio management, legal documentation and corporate compliance solutions that transform the way finance professionals do business. We champion automation, simplicity and connectively to drive business profitability and enhanced client experience. myprosperity is a leading provider of client portals for accountants and financial advisers, enabling streamlined service delivery and increased productivity for their business and enhanced customer experience for their clients. We make it easier for Australians to share, communicate and collaborate with their financial professional across all aspects of their financial lives.

Similar Jobs

PERGOLUX Logo PERGOLUX

Data Engineer

eCommerce • Retail
In-Office or Remote
8 Locations
169 Employees

Ippon Technologies USA Logo Ippon Technologies USA

Consultant

Information Technology
Hybrid
Melbourne, Victoria, AUS
82 Employees

NCS Group Australia Logo NCS Group Australia

Data Engineer

Artificial Intelligence • Cloud • Information Technology • Consulting • Cybersecurity • Big Data Analytics
Hybrid
Melbourne, Victoria, AUS
1358 Employees

Dedalus Logo Dedalus

Technical Lead

Healthtech • Information Technology • Software • Consulting
In-Office
3 Locations
5508 Employees

Similar Companies Hiring

Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Kepler  Thumbnail
Fintech • Software
New York, New York
6 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account