Lead Data Engineer at Macquarie Group

, , Australia -

Full Time

Start Date

Immediate

Expiry Date

31 Jan, 26

Salary

150860.0

Posted On

02 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, Data Science, Business Intelligence, Statistics, Snowflake, JIRA, Wiki, DBT, Apache Airflow, Python, Linux, GitHub, Data Vault 2, ETL, Machine Learning, Natural Language Processing, Generative AI

Industry

Hospitals and Health Care

Description

PRIMARY DETAIL $142,838 to $150,860 (HEW Level 9) plus 17% employer’s superannuation contribution and annual leave loading Hybrid Working | Positive, team-oriented work environment Based at Macquarie University, Wallumattagal Campus, North Ryde Macquarie University is hiring for a Lead Data Engineer for our Data Solutions team within Business Intelligence and Reporting. As a Lead Data Engineer, you will work with the relevant teams 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. Business Intelligence and Reporting is responsible for enabling evidence-based decision-making across the University. Key Accountabilities Adopt and enhance existing processes to design and implement data orchestration workflows, managing curated datasets through landing zones, enterprise data warehouses, and presentation layers for insight generation. Collaborate with the lead modeller to translate requirements into production-ready outputs. Partner with stakeholders to understand and support their data infrastructure needs, troubleshooting and resolving technical issues. Deploy data models into production using CI/CD pipelines, ensuring seamless integration. Develop and manage data acquisition pipelines, ingestion workflows, and data lake capabilities. Work alongside relevant teams to deploy Machine Learning models for predictive analytics and advanced insights. Leverage generative AI and Natural Language Processing (NLP) to implement end-to-end solutions, enabling stakeholders to derive deep insights from structured data collaborating with the Mcquarie AI Team. Identify, design, and implement process improvements to automate workflows, optimise data delivery, and enhance infrastructure efficiency and scalability. Create and maintain core documentation for data models, including DDLs, ETL mappings, data dictionaries, and change registers. Support the implementation of data asset standards and governance processes to ensure data quality and compliance. About You Tertiary qualifications in Data Analytics, Data Science, Business, Statistics, or equivalent experience. Proficient with database, data pipeline, and workflow management tools such as Snowflake, JIRA, Wiki, DBT, Apache Airflow, Python, Linux, and GitHub. Advanced skills in designing, testing, and validating data transformation and ETL routines using tools like DBT, Apache Airflow, Python, and Alteryx. Strong hands-on experience with Data Vault 2 and dimensional data model implementation. Proven track record of providing technical leadership in the delivery of complex enterprise data or integration solutions. Exceptional verbal and written communication skills, with the ability to engage with both technical and non-technical stakeholders. Experience working in an agile squad environment is desirable. About Us 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. Why work at Macquarie 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. Our prime location, we are walking distance from Macquarie University Metro Station and Macquarie Shopping Centre. Not only are we close, take a look at our benefits on offer: 17% Superannuation Subsidised onsite parking options Flexible working options Training and professional development Onsite childcare facilities Discounted health insurance (Medibank) Onsite vacation care Employee Assistance Program Subsidised membership at the Sport & Aquatic Centre Onsite GP, imaging & physio clinics For role specific enquiries, please reach out to our Hiring Manager at chitrani.gunasekera@mq.edu.au. 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: 06/11/2025 11:59 PM A Place Where You Belong At Macquarie, we believe diversity makes us stronger, inclusion drives our success, and belonging inspires us to do our best work. We are proud to foster a community where different backgrounds, identities, and experiences are valued, and where our people are empowered to thrive through supportive leadership, shared responsibility, and a deep commitment to genuine care and respect for our community. Find out more about our vision for a truly inclusive workplace in our Diversity, Inclusion and Belonging Framework. 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, visit our Jobs at Macquarie page. Macquarie is a university engaged with the real and often complex problems and opportunities that define our lives. Since our foundation in 1964, we have aspired to be a different type of university. Over the years, we have grown to become the centre of a vibrant local and global community. Connect with us today.

Responsibilities

As a Lead Data Engineer, you will lead the development and optimisation of data and analytics architecture, as well as optimising data flow and collection. You will collaborate with stakeholders to understand their data infrastructure needs and deploy data models into production using CI/CD pipelines.