Lead Data Engineer

PRIMARY DETAIL

Salary Package: From $133,989 to $141,514 (HEW Level 9), plus 17% employer's superannuation and annual leave loading
Appointment Type: Full time, Fixed-term role (until 20th December 2024)
Location: Macquarie University, Wallumattagal Campus, North Ryde

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, [email protected]
General Enquiries: Bill Egarchos, HR Officer, [email protected]
Application Close Date: Tuesday, 23rd 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:

23/04/2024 11:59 PM

Diversity and Inclusion

Innovation and ingenuity thrive at Macquarie University when diversity, equity and inclusion take centre stage. At the University, we embrace a culture where diversity of background, experience and perspective are fundamental to our success.

We do not discriminate on gender identity, age, culture, disability, sexuality, Indigeneity, family and caring responsibilities or religion. See our journey towards leadership in Equity, Diversity and Inclusion in Higher Education.

Flexible Work
 

At Macquarie, we believe by providing flexibility in when, where and how work is done, we can support our staff to manage their personal commitments, while optimising their work performance and contributions to the University. See how we lead in flexible work to enable an outcome focused and inclusive workplace. To learn more about our culture and hiring process, explore our Candidate Resource Hub .