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We are looking for a Senior Software Engineer to join our team Issuing Domain to work on our Card Management System (CMS).

Our CMS team build our credit, debit & prepaid card and card management system that integrates with the wider Cuscal payments ecosystem including but not limited to; digital, switch and cloud.

As a member of the CMS team, you’ll be responsible for developing, maintaining, and supporting applications and systems that support the business needs of the customer. This includes analysis, design, build, test, and documenting solutions according to approved current standards and best practice methodology.

In this role you will be responsible for:

• Preparing technical specifications and program design documents to meet user requirements and functional specifications.
• Write high-quality code that satisfies customer needs and strives for simplicity, clarity, low latency, testability, and maintainability.
• Performing analysis to support application and system design.
• Analysing, designing, developing, and testing software solutions that meet user requirements according to approved IT standards and best practice methodology.
• Adhering to architecture, design, implementation, and security standards and best practices.
• Developing reusable software building blocks to enable faster delivery.

PRIMARY DETAIL

THE ROLE

The Lead Data Engineer will be working with the relevant project team to lead the development and optimisation of data and analytics architecture, as well as optimising data flow and collection to deliver integrated and quality business information and reporting solutions. 

Reporting to the Head - Data Solutions, key responsibilities for this role include:

• Develop, test, and maintain data and analytics architecture, including databases and large-scale processing systems, for optimal extraction, transformation and upload of data from multiple sources and different technologies. 

• Work with the stakeholders to support their data infrastructure requirements and assist with resolving technical issues.  

• Provide Technical leadership of the implementation of data and/or integration solutions for complex enterprise systems within complex multistakeholder and formalised project delivery environments.

• Deploy models into production using CI/CD pipelines.  

• Reverse and forward engineer data assets.  

• Build data acquisition, ingestion pipeline, and data lake capability. 

• Recommend improvements to data reliability, efficiency, and quality, and provide high quality data assets for enterprise use. 

• Identify, design, and implement process improvement to automate processes, optimise data delivery, and achieve infrastructure efficiency and scalability.  

• Collate, process, transform, and model raw data from multiple sources, and utilise different data sourcing, integration, and modelling techniques.  

• Pilot, demonstrate and evaluate useability of new technologies and systems, 

• Design and update user guides, technical specifications and Process flow documents for all applications and tools.  

• Creation and maintenance of artefacts relating to data models (e.g. DDLs, mapping of data, DMLs, Data Dictionaries, Change Registers etc.) 

• Assisting in the development and continuous improvement of data modelling and principles, processes, and standards 

• Assisting in the implementation of data asset standards, and in the implementation of related data asset governance processes 

About Us

The Vice-President Strategy, Planning and Performance (VPSPP) holds executive responsibility for the development and execution of university strategy, cross-institutional planning, and oversight of whole of University Group performance.
 

The VPSPP supports the Vice-Chancellor, Executive Group and University Council in ensuring the long-term sustainability and strategic direction of the University and its group subsidiaries.
 

Specific accountabilities include:

•            Whole of institution strategy

•            Effective decision making and transformational change

•            Planning, performance, continuous improvement, and strategic focus

•            Performance metrics and reporting frameworks

•            Organisation progress and performance
 

Business Intelligence and Reporting is responsible for enabling evidence-based decision-making across the University.

There are significant investments being made in developing strategic data assets for the University and its entities, and a critical component of all this work is the definition of the strategic data model (Enterprise Data Model) that describes the data assets required to meet business analytical requirements and this will be used as the basis for all the data engineering work to then build the data assets.

The Lead Data Modeller (Analytics) will lead this work, who will have overall ownership for the definition and development of the strategic Enterprise Data Model as well as oversee all project data modelling activity to ensure alignment with the overall data strategy.

Macquarie is a university engaged with the real and often complex problems and opportunities that define our lives. Celebrating its 60th year in 2024, it was established as a bold experiment in higher education and designed to break from educational traditions to work in tandem with industry. Institutionally we strive for the extraordinary by challenging convention and embracing different views.

Our pioneering culture has encouraged and inspired students, staff and collaborators to break free from conventional thinking, and to actively shape the complex issues that define the future of humanity.

We rank amongst the top employers in the Australian Workplace Employers Index, having recently earned a five-star rating in the QS World Rankings with the highest rating for employability. Take a look at the staff benefits on offer.

To Apply
To be considered for this position, please apply online and attach your resume and a separate cover letter that outlines how you meet the selection criteria below:
 

Selection Criteria

• Tertiary qualifications in Data and Analytics, Data Science, Business or Statistics or equivalent knowledge, skills and experience.

• Advanced Knowledge and experience in Snowflake. 

• Highly developed skills to write, test and validate data transformation and ETL routines within DBT, Apache Airflow, Python, Alteryx.

• Data Vault 2 data model implementation experience.

• Dimensional data model implementation experience.

• Demonstrated knowledge of database tools and SQL skills for navigating and troubleshooting these data processes in these platforms. 

• Experience with database, data pipeline and workflow management tools: Snowflake, JIRA, Wiki, DBT Airflow, Python etc. 

• Experience in pipeline scalability, through services such as Kubernetes.

• Experience working in a collaborative environment.

• Experience with database, data pipeline and workflow management tools: Snowflake, JIRA, Wiki, DBT Airflow, etc. 

• Experience in providing technical leadership of the implementation of data and/or integration solutions for complex enterprise systems within complex multistakeholder and formalised project delivery environments.

• Providing specialist data deployment support in the context of a mature IT service delivery organisation supporting both cloud and hybrid on premises application configurations.

• Experience with DBT.

• Highly developed analytical and problem-solving skills including the ability to analyse and interpret requirements and information from numerous sources.

• Time management and ability to balance competing demands to effectively prioritise tasks and achieve deadlines, on individual basis as well as for a team.

• Excellent verbal and written communication skills with the ability to build and maintain relationships with a wide range of stakeholders including the ability to influence senior management and executives.

• Presenting to a wide range of audiences with varying levels of data analytics capability.

Desired:  Experience working in an agile squad environment.

Other Specific Requirements: Criminal history check

Role Specific Enquiries: Chitrani Gunasekera, Head - Data Solutions, chitrani.gunasekera@mq.edu.au
General Enquiries: Bill Egarchos, HR Officer, bill.egarchos@mq.edu.au
Application Close Date: Wednesday, 3rd April 2024, 11:59pm

If you're already part of the Macquarie Group (MQ University, U@MQ, MQ Health, MGSM), you'll need to apply through your employee Workday account. To apply for this job: Login to Workday and go to the Careers App > Find Jobs.

Applications Close:

Diversity and Inclusion

What you get to do in this role

• Build high-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.)
• Work with the product owners to understand detailed requirements and own your code from design, implementation, test automation and delivery of high-quality product to our users.
• Implement software that is simple to use to allow customers to extend and customize the functionality to meet their specific needs
• Contribute to the design and implementation of new products and features while also enhancing the existing product suite
• Be a mentor for colleagues and help promote knowledge-sharing

Team Overview:

The AppSec Team focuses on building secure mobile, web and cloud applications throughout their development lifecycle, from start to finish. AppSec is a proactive approach to security that help prevents threats at the initial stages rather than a reactive approach.

As an Application Security Engineer at TAL, you will be responsible for ensuring the security of our applications by implementing and maintaining robust security measures at TAL. You will work closely with development teams to identify and mitigate security vulnerabilities throughout the software development lifecycle. You will also foster security awareness and DevSecOps culture, providing security training to development teams.

Key Responsibilities:

• Ascertain a holistic understanding of TAL’s systems, development workloads and lifecycles.
• Create and update software application security policies and procedures.
• Work closely with the TAL Cyber team to implement security best practices and standards to protect sensitive data and ensure compliance with regulations.
• Collaborate with development teams to integrate security controls into the software development process.
• Conduct security assessments on applications to identify and remediate vulnerabilities.
• Drive response to security incidents, conducting root cause analysis and implementing corrective actions.
• Analyse application code and recommend solutions to identified security issues.
• Execute planned and ad-hoc security scans of software applications, and interpret results for development teams.
• Maintain documentation related to application security processes and controls.
• Providing application security guidance, coaching, and training to development teams and other stakeholders.
• Ensuring the adoption and implementation of application security tools in the DevSecOps lifecycle.
• Gather, manipulate and report on data from application security tools programmatically.
• Work with vendors to tailor application security tools to fit TAL workloads. 
• Stay up-to-date on the latest security threats and trends to proactively address potential risks and educate development teams.