JOB DETAILS

Data Engineer (SAP BODS & Databricks)

CompanyCuscal
LocationSydney
Work ModeOn Site
PostedFebruary 27, 2026
About The Company
Cuscal is a payments and regulated data services provider in Australia. Since 1966, we have enabled Australian banks, mutuals, corporates and fintechs to better serve and connect with their customers through the implementation of innovative technology solutions. Our vision: To transform the future of how money moves and how Australia does business. Our purpose: To enable competition and power progress, one transaction at a time. We deliver this through our expert team, our ability to anticipate and our deep understanding of the financial payments industry. Our proud history of firsts as the leader in payments solutions has made us the trusted partner for banks, mutuals, fintechs and corporates.
About the Role

Company Description

Forward with Cuscal 

At Cuscal, we’re not just shaping the future of payments - we’re pioneering it. From launching Australia’s first ATM to being the first certified NPP PayTo Payer and Initiator in 2022, we’ve spent over 59 years building solutions that millions of Australians rely on every day.  

Now, we’re preparing for what’s next, and we want you to be part of it. 

Join us as a Data Engineer in our Acquiring Services Domain and help us deliver ground-breaking solutions that push the boundaries of what’s possible. 

Job Description

Your Opportunity 

We’re looking for a Data Engineer to join our Acquiring Services Domain. 

In this role, you’ll leverage your technical skills to develop, maintain, and support innovative solutions that solve real-world challenges in the payments industry. From designing and building scalable systems to ensuring seamless integration with key technologies, your work will directly impact millions of users. 

You’ll also make an impact by: 

  • Design Solutions: Develop and maintain scalable pipelines. Ensure systems are designed for extensibility, are robust, and can handle large volumes of data efficiently.
  • Data Integration: Integrating data from various sources, ensuring data quality and consistency. Work on data transformation, processing, and loading to support analytics and business intelligence needs.
  • Performance Optimisation: Identify and resolve performance bottlenecks within the Databricks environment, including optimizing the data ingestion processes and ensuring efficient data querying.
  • Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet those needs. Provide guidance and mentorship to junior data engineers.
  • Innovation and Improvement: Continuously explore new data technologies and methodologies. Implement best practices for data engineering in partnership with our Data practice.
  • Documentation: Maintain comprehensive documentation of data workflows, architectures, and best practices. Ensure that all data processes are well documented and reproducible.

Qualifications

What you’ll bring 

To succeed in this role, you’ll have: 

  • 4+ years of experience building and managing large data platform environments in the cloud.
  • Strong knowledge of Cloud AWS platform/applications.
  • SAP Business Objects Data Services: Experienced in creating ETL jobs and reverse engineering existing ones.
  • SAP Business Objects Business Intelligence: Strong design skills in Universe design and Crystal Reports 2016, with basic knowledge of WebI reports.
  • Oracle Stored Procedures: Skilled at understanding complex logic within stored procedures used for summary data in reporting.
  • Databricks Data Pipeline Design: Proficient in Apache Spark and Delta Lake, with strong Python and SQL skills, and a thorough understanding of the Databricks platform, including notebooks, workflows, and the Medallion Architecture.

You’ll stand out from the crowd if you have some of the following: 

  • Experience in the financial services or payments sector.
  • Experience working within PCI-DSS compliant environment.

Additional Information

Why Cuscal? 

At Cuscal, you’ll find a strong, successful company that’s reimagining the future. And our team is right there at the heart of it all.   

Here, you’ll deliver or support interesting, ground-breaking work that has real impact - on Australia’s financial services sector and the millions of customers it serves. You’ll innovate alongside skilled, smart, connected teams. And you’ll build an impressive, fulfilling career that continues to grow.   

You’ll also enjoy a range of benefits, including: 

  • Work in a hybrid model that supports your lifestyle and goals 

  • We celebrate success: Our IGNITE program recognises individual and team achievements. 

  • Wellbeing focus: We support your physical, mental, and financial health with holistic initiatives and access to discounts via ‘Cuscal Advantage.’ 

Join us and reimagine the future 

If this role excites you, we’d love to explore your potential and vision for the future. Screening and interviews may occur before the job ad closing date, so don’t wait - apply now. 

For further information about this role please contact [email protected] 

Cuscal is an equal opportunity employer committed to an equitable, diverse, and socially inclusive work environment and a positive, barrier-free recruitment process.  

We welcome applicants from an Aboriginal and Torres Strait Islander heritage, people living with a disability, LGBTQIA+ and people from culturally diverse backgrounds to explore career opportunities with Cuscal.   

Note: Cuscal does not accept unsolicited resumes from recruitment agencies or search firms. 

Key Skills
SAP BODSDatabricksCloud AWSETL JobsUniverse DesignCrystal Reports 2016Oracle Stored ProceduresApache SparkDelta LakePythonSQLMedallion ArchitectureData Pipeline DesignData IntegrationPerformance OptimisationData Workflows
Categories
Data & AnalyticsSoftwareEngineeringFinance & Accounting
Benefits
Work in a hybrid modelRecognition programs
Job Information
📋Core Responsibilities
The Data Engineer will be responsible for developing and maintaining scalable data pipelines, ensuring robust design for extensibility and efficient handling of large data volumes. This role involves integrating data from various sources, performing transformations, and optimizing performance within the Databricks environment.
📋Job Type
full time
📊Experience Level
2-5
💼Company Size
753
📊Visa Sponsorship
No
💼Language
English
🏢Working Hours
40 hours
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