
Senior Data Engineer
2 weeks ago
About QICAs one of Australias leading institutional investment managers with more than $100 billion in assets under management, we have a presence across four continents, seven offices and assets across global markets.
At QIC, we believe in shared value - where delivering strong investment returns can go hand in hand with doing good for our clients, people and communities.
If we invest well, we will all do better together.
Life at QICWe know that our people perform at their best when they feel a sense of belonging and are encouraged to bring their authentic selves to work every day.
We provide a supportive work environment where everyone can thrive and feel valued for their meaningful contribution in delivering for the prosperity of our clients, people and communities.
Joining QIC, you can contribute to our employee led networks that champion our diversity, equity and inclusion strategy, which consists of five key pillars: Gender Equality, LGBTQ+, Accessibility, Cultural & Linguistic Diversity, and First Nations People.
Other reasons to join us: Flexibility and hybrid options encouraged – certified Family Inclusive Workplace Recharge leave - additional 3 days leave per year Annual Fitness/home office reimbursement Ability to swap public holidays for those of personal, cultural or religious significance26 weeks gender-neutral paid parental leave Financial study assistance and study leave Community leave for supporting the causes you love Development opportunities to extend, expand and enhance your growth.
At QIC, we welcome and encourage applications from Aboriginal and Torres Strait Islander people, the LGBTQI+ community, people with disabilities and people from all cultural backgrounds.
We have an equitable, barrier-free application process so please inform us of your accessibility requirements in your application or you can reach out to our Talent Team on 07 3360 3800.
About the role Are you a hands-on, experienced Senior Data Engineer looking for an exciting permanent opportunity to make a significant impact? Join our high-performing Data Platform team where your creativity and technical expertise will help shape the future of QIC's data capabilities.
You will play a pivotal role in maintaining and evolving our strategic technology platforms for Investment Teams, while fostering strong, collaborative relationships with key business stakeholders to deliver high-value outcomes.
If you thrive in a dynamic, innovative environment and are passionate about delivering reliable, scalable data solutions—we'd love to hear from you.
Key responsibilities will include: Conducting detailed data analysis, documenting data objects, relationships, and system mappings.
Assembling large, complex data sets to meet business requirements.
Contributing to database design and development activities in close collaboration with the Global Real Estate Technology Squad.
Develop and maintain robust, scalable ETL/ELT pipelines to support data ingestion, transformation, and integration across multiple systems and platforms.
Collaborating with teams to deliver outcomes while adhering to QIC methodologies.
Enhancing data system functionality by working with data and analytics experts.
Contributing to the design and architecture of future data modernisation initiatives, with a focus on scalability, automation, and cloud-readiness.
About You Tertiary qualifications in Information Technology, Computer Science or similar.
Strong attention to detail and demonstrated experience with SQL Server database implementation and programming.
Proven experience across the full application development lifecycle: design, development, testing, implementation and handover.
Demonstrated experience with data modelling and data warehouse architecture and implementation.
Experience working with large data sets and developing data pipelines that move data from source systems to data warehouses, data lakes, and other data storage and processing systems.
Experience with Azure Data Factory, Data Lake and Synapse Analytics.
Proficiency in CI/CD pipelines, especially using Azure Dev Ops.
Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Information Technology, Consulting, and Finance Industries Technology, Information and Media, Data Infrastructure and Analytics, and Financial Services Referrals increase your chances of interviewing at QIC by 2x Sign in to set job alerts for "Senior Data Engineer" roles.
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