
at Macquarie
Investment BankingPosted 4 days ago
No clicks
**Senior Data Engineer - Vulnerability Management (22476)** Design, develop, and maintain greenfield data pipelines using modern tech stack. Drive the future of our vulnerability management platform and ensure delivery of robust, scalable data solutions. Collaborate to enhance vulnerability identification, analysis, and mitigation across multi-cloud environments. **Responsibilities:** - Design and build scalable backend services and APIs - Develop robust data pipelines for structured and unstructured data - Work with modern data platforms like cloud data lakes, Apache Iceberg, Airflow, and dbt - Maintain and enhance microservices architecture, focusing on Kubernetes and CI/CD **Required Skills:** - 5+ years in Data Engineering or Python backend development - Strong Python expertise, hands-on experience in backend and data engineering - Experience with Kubernetes and CI/CD best practices - Solid understanding of cloud-native environments and integrating data and security toolings - Proven commitment to high-quality, reliable code - Previous experience with vulnerability management is a plus but not required **Working at Macquarie:** - Be part of a global financial services group operating in 30 markets with 57 years of unbroken profitability - Enjoy flexible working arrangements, development opportunities, and various benefits
- Compensation
- Not specified
- City
- Sydney
- Country
- Australia
Currency: Not specified
Full Job Description
-
Jobs
-
Featured jobs
- Back to search
Data Engineer
What role will you play?
Press space or enter keys to toggle section visibility
What you offer
Press space or enter keys to toggle section visibility
- 5+ years experience in Data Engineering or Python backend development, or strong interest in transitioning into Data Engineering
- Strong Python expertise, with hands-on experience across backend and data engineering
- Proven experience working with modern data platforms, including cloud data lakes, Apache Iceberg, Airflow and dbt
- Demonstrated ability to design, build and maintain scalable backend services and APIs
- Experience developing robust data pipelines for both structured and unstructured data
- Solid background in microservices architecture, with a focus on Kubernetes and CI/CD best practices
- Good understanding of cloud-native environments and integrating data and security tooling
- Commitment to high-quality, reliable code through testing, automation and engineering best practices.
What we offer
Press space or enter keys to toggle section visibility
- 1 wellbeing leave day per year
- Up to 5 additional service bonus leave days per year
- Up to 20 weeks paid parental leave for primary caregivers along with 12 days of transition leave upon return to work, and 6 weeks paid leave for non-primary caregivers
- 2 days of paid volunteer leave and donation matching
- Up to 12 months gender affirmation leave, including 6 weeks paid leave
- Access to Employee Assistance Program and wellbeing benefits including skin and health checks, and flu vaccinations
- Access to a wide range of salary packaging options
- Access to a wide range of learning and development opportunities, including reimbursement for professional membership or subscription
- Hybrid and flexible working arrangements, dependent on role
- Reimbursement for work from home equipment
About Technology
Press space or enter keys to toggle section visibility
Our commitment to diversity, equity and inclusion
Press space or enter keys to toggle section visibility




