Total 2,302 Full-time purchasing lead job vacancies in Australia

About the opportunity

Join our Education Vertical as an Application Support Team Lead in Melbourne to make a real impact every day. We say that because we know that every conversation we have, every code line we write and every interface we design is another opportunity for us to enrich our customers’ experiences.

Reporting to the Senior Manager, Service Delivery, this role will lead a team of Support professionals to meet the needs of our customers on software related enquiries. As an Application Support Team Leader, you will drive engagement, excellence, and a focus on building relationships with our customers and colleagues; whilst meeting and exceeding service levels agreements for the resolution of support tickets. 

Some of the other responsibilities include:

• Manage a regional team of Application Support Advisors in the delivery of software customer service
• Collaborate with engineering peers to provide customer resolutions within agreed SLAs, advocating customer needs to effectively prioritise support ticket resolution 
• Partner with leadership and commercial teams to identify and plan essential work in the context of Application Support 
• Responsible for the maintenance and performance of customer satisfaction levels, ensuring quality service is provided consistently  
• Ensure that the team adheres to regional policies within Application Support for Xplor products 
• Contribute to frameworks and internal resources to support the resolution of technical issues within your team 
• Find new ways to reduce the average ticket turnaround time and improve SLAs 
• Champion the standards for voice of the customer in both delivery and execution 
• Manage staff performance against relevant KPI’s standards  
• Support your team, where required, in customer meetings and calls, to review support issues and implement appropriate actions  

For this position, we offer a hybrid and flexible working model, where you will spend 2 days per week in the office and 3 working from home.

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

Our Why

Datacom works with organisations and communities across Australia and New Zealand to make a difference in people’s lives and help organisations use the power of tech to innovate and grow.

About the Role (your why)

As a Desktop Support Team Lead, you will be responsible leading a team of end user services engineers within the IT Outsourcing group to ensure best practice support methodology is practiced, technical experience leveraged and customer outcomes are delivered driving high levels of customer satisfaction. The Desktop Support Team Lead is expected to manage the day-to-day customer related operations of the Onsite End User Services Support group.

This role is based in Penrith and Sydney. Due to customer requirements, we will require Australian Citizenship to be eligible, no visa sponsorships for this position.

What you’ll do

At the moment, as Desktop Support Team Lead you will be focused on:

• Being the single point of contact for all EUS related issues and escalations for all stakeholders
• Ensure all escalations are addressed with effective communication back to the relevant stakeholder and associated parties
• emerging relevant technologies and the possible application of these technologies to the client base and Datacom.
• Assist in Problem Management when required delegating as appropriate.
• Support the Service Delivery community in Continual Service Improvement Initiatives
• Manage call management system queues to ensure tickets are assigned and
• Mentor and coach staff members on customer related issues Promote a positive culture within the team
• Ensure operational performance of the team delivers a high level of customer satisfaction.
• Demonstrate a strong managerial and leadership style.
• Ensure staff are clear on expectations and performance requirements.
• Ensure the Operations Manager (EUS) is aware of noncompliance issues and performance anomalies.
• Ensure all staffs adherence to the breached call reporting policy
• Track and record expenses for EUS team staff members
• Ensure staff enter timesheets in line with Datacom process

We are a pretty agile company, and are keen to respond to customer, technology and internal stakeholders’ changing requirements and this can mean we evolve in our roles to meet those needs.

What you’ll bring

Required experience:

• Hardware and peripherals i.e. laptops, notebooks, workstations desktop PC's, printers, media and audio-visual equipment BYOD and mobility
• Active Directory, Microsoft Exchange, SCCM, End-Point Imaging, and experience in SOE creation and maintenance
• Desktop and software applications i.e. Operating Systems (Windows 7 through 10 and), Microsoft Office 2007 through 365, Antivirus software and systems

Nice to have:

• You will bring excellent verbal and written communication and have the ability to articulate technical information to the target audience. Your professional customer service will be second to none, and you will have the ability to work autonomously with excellent time management

Why join us here at Datacom?

Datacom is one of Australia and New Zealand’s largest suppliers of Information Technology professional services. We have managed to maintain a dynamic, agile, small business feel that is often diluted in larger organisations of our size. It's our people that give Datacom its unique culture and energy that you can feel from the moment you meet with us.

We care about our people and provide a range of perks such as social events, chill-out spaces, remote working, flexi-hours and professional development courses to name a few. You’ll have the opportunity to learn, develop your career, connect and bring your true self to work. You will be recognised and valued for your contributions and be able to do your work in a collegial, flat-structured environment.

We operate at the forefront of technology to help Australia and New Zealand’s largest enterprise organisations explore possibilities and solve their greatest challenges, so you will never run out of interesting new challenges and opportunities.

We want Datacom to be an inclusive and welcoming workplace for everyone and take pride in the steps we have taken and continue to take to make our environment fun and friendly, and our people feel supported.

PRIMARY DETAIL

THE ROLE

The Lead Data Modeller will be working with the relevant project team to lead the development and implementation of conceptual, logical, and physical data models to support the creation of strategic analytical data assets and provide data modelling expertise and leadership.

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

• Define, develop, and implement the Enterprise Data Model (for assigned PMO Project) across Macquarie University and its entities, including defining, managing, and communicating the Enterprise Data Model roadmap. 

• Work with key stakeholders to understand business analytical requirements and lead the work to map them into logical and physical data models within relevant modelling tools as per the agreed standards.

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

• Implement robust processes to govern the development and maintenance of the data models.

• Provide data modelling expertise and leadership to the engineering teams responsible for building the data assets and to the analytical teams using them to deliver insights, as well as proactively driving the resolution of any delivery issues relating to the Enterprise Data Model.

• Resolve production issues relating to Data Vault and Dimensional models and related conformed data layers.

• Responsible for proactively identifying data quality issues and managing these in collaboration with the BIR Team.

• Develop and continuously improve data modelling principles, processes, and standards, ensuring alignment with the broader MQ IT architectural principles, and delivery processes and standards and that documentation is properly managed including the maintenance of data catalogue.

• Work with the project and wider BIR team and MQ IT in the development and implementation of data asset standards and governance processes.

• Support the Project Team and BIR leadership in defining the overall data strategy.

• Build and maintain collaborative relationships with project team, stakeholders, executives and working groups.

• Comply with relevant EEO and WHS regulations.

• Perform any other duties as required and appropriate for this classification.

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.

• Proficiency and experience with Erwin Data Modeller.

• Data Vault 2 data modelling and implementation experience.

• Dimensional data modelling and implementation experience.

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

• Knowledge of database, data pipeline and workflow management tools: Snowflake, JIRA, Wiki, DBT Airflow, etc

• Ability to rapidly understand business requirements and map them into logical and physical data models within relevant modelling tools.

• Experience working in a collaborative environment.

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

• 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.

• Working knowledge of the Higher Education or Education Data Model.

• Experience with DBT will be highly regarded.

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 will a day as a Power Systems Lead will look like: 

• Be a mentor - advise, review and guide engineers across grid interconnection and system planning studies for grid scale wind, solar, energy storage and hybrid generating systems
• Partner with clients - support proponents with negotiating performance standards with AEMO and network service providers
• Nurture relationships - support key clients with stakeholder management during studies and due diligence process liaising with technical and non-technical stakeholders
• Influence Strategy - support strategic pursuits and bids/proposals for major projects 

The following qualifications and experience are highly desired, but if you don’t tick all the boxes you could still be a perfect fit for this role. Please apply, all applications will be considered.  

Kieser has large growth aspirations and a potential barrier to this growth is the development of current and future leaders.  

This role holds the key responsibility of developing leaders across Kieser through training and development interventions. These interventions span workshop design and development, and the facilitation of group training and 1-1 coaching. Inherently, the role requires the creation of learning resources to enrich the learning experience, and for leaders to utilise on-the-job to continuously enhance capability. 

Position Responsibilities

1. Complete ongoing training needs analysis (TNA) to understand the Kieser leadership capabilities that need to be built, grown and maintained through learning and development. 

2. Review market trends and industry research to apply best practice principles to learning interventions. 

3. Project manage the design, development and implementation of Learning & Development (L&D) solutions which fit both Kieser and leadership capability needs, in line with the business strategy and plan. 

4. Work autonomously or partner with L&D team or third-party providers to design blended learning solutions. Liaise with key stakeholders and subject matter experts on projects for effective, relevant and accurate training interventions. 

5. Effectively implement L&D solutions via 1-1, group coaching, workshop facilitation and/or online learning to leaders, as appropriate. 

6. Review and assess the effectiveness of training interventions and solutions. 

7. Support and assist in the development of other Leads to strengthen and broaden the leadership development offer.  

8. Interstate travel required. 

As a Systems Interface Lead – Stations with Egis, your work instrumental in leading technology forward, cutting-edge work for the advancement of rail services in Victoria. This is a critical role where you will draw on your deep expertise of systems engineering and interface management relating to railway stations.

In this role, you will:

• Lead and manage station interface management activities such as lead Interface Working Groups between Stations Packages and Line Wide Package and manage interface issues resolution.
• Provide recommendations in case the solution has impacts on time or contracts.
• Address interface challenges and assess the criticality of unresolved issues.
• Advise solutions to the Client on how to balance and/or resolve issues which are technical, commercial and program in nature.
• Develop and implement the Interface Management Plan for the project.
• Establish robust processes for interface communication, meeting management, and reporting with for the project, the client, consortium, third parties, and other relevant stakeholders.
• Collaborate with broader Project team and influence outcomes to achieve best project outcomes.