Data Engineering Lead

About us     

HammondCare provides expert aged care, home care, dementia care and palliative care for older people, regardless of circumstances, beliefs, background or financial situation. We are led by our not-for-profit, Christian foundations and backed by research and clinical expertise.  
  
When it comes to our people - those we serve and those who serve - we are committed to inclusion across race, culture, ethnicity, gender, sex, sexuality, religion and ability. In our innovative residences, our hospitals, or in client homes, we aim to set the global standard of relationship-based care for older people with complex needs.  
  
We've been caring for people for over 90 years - so, if you love to care, join us, and make a career move that matters.  

It’s not just care. It’s HammondCare.   

About the Team   

The Information Technology (IT) function is seen as an important enabler to the achievement of HammondCare’s mission. This is driven by the requirement of the organisation to meet the changing needs of people with complex health or aged care needs and our employees within a growing geographically diverse organisation and across a continuum of care.   

The Data Engineering Lead is responsible for designing, building, and scaling the organization’s data platform and analytics ecosystem. This role leads a cross-functional team comprising data engineers, full-stack developers/engineers, data integrators, data scientist, ensuring seamless data flow, robust architecture, and delivery of insights-driven solutions that enable business outcomes. 

The role blends technical leadership, people management, architecture design, and stakeholder engagement to deliver high-quality, secure, and scalable data solutions. 

Key Focus Areas: 

• Works across multiple source systems and data domains 

• Designs and supports enterprise‑grade data pipelines 

• Operates in a regulated, care‑based environment with strong data integrity requirements 

• Influences data architecture and platform decisions without people management 

• Balances delivery urgency with long‑term data sustainability 

This role is a permanent position based at St Leonards with hybrid opportunities.    

What we can offer you    

We care about your wellbeing at HammondCare and as a result offer a wide range of health and lifestyle benefits including:    

• NFP salary packaging ($15,900 tax free) plus meals and entertainment benefit (up to $2,650 tax free)  

• Additional leave purchase options and 14 weeks paid parental leave  

• Flexible working options, including hybrid arrangements  

• Discounts on everyday products and services  

• Discounted healthcare memberships - access to network of fitness centres and pools for employees and families  

• Free access to independent counselling support for employees and families  

• Health & Wellbeing programmes  

• Reward & Recognition programmes  

• Referral bonuses  

• Career and professional development opportunities  

Responsibilities   

• Define and own the end-to-end data architecture, covering ingestion, storage, transformation, integration, and consumption layers 

• Oversee integration across the enterprise data ecosystem, ensuring standardised patterns, interoperability, and seamless data exchange 

• Oversee the design, build, and optimisation of data pipelines and integration solutions

• Embed best practices in code quality, testing, CI/CD, data governance, and observability

• Support the operationalisation of machine learning models through scalable MLOps practices

​About you   

• Commitment to engage and align with HammondCare’s Christian Mission, Motivation and Mission in Action  

• 8–12+ years’ experience in data engineering, software engineering, or data platform roles 

• 3–5+ years in leadership roles, managing or leading multi-disciplinary technical teams 

• Proven experience designing and delivering enterprise data platforms (data lakes, warehouses, lakehouses), ETL/ELT pipelines and integration frameworks 

• Strong track record in cloud-based data environments (e.g., Azure, AWS, GCP) 

To Apply