At a Glance
- Tasks: Design and optimise scalable data solutions on Google Cloud Platform.
- Company: Insignia Financial, a leader in innovative data engineering.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Be part of a culture focused on continuous improvement and innovation.
- Why this job: Join a dynamic team and make an impact with real-time and batch data pipelines.
- Qualifications: 3+ years in data engineering with strong GCP and coding skills in Java or Python.
The predicted salary is between 63000 - 77000 $ per year.
Insignia Financial is expanding its Data Engineering team to design, develop, and optimise scalable data solutions on Google Cloud Platform.
You will work with large datasets in a cloud-native environment, contributing to a culture of continuous improvement and innovation.
We seek an engineer with 3+ years in data engineering, strong GCP experience, and proficiency in Java or Python.
You will build robust data pipelines and apply Dev Ops practices to enhance delivery and reliability.
GCP Data Engineer: Real-Time & Batch Data Pipelines in Sydney employer: Insignia Financial
At Insignia Financial, we pride ourselves on fostering a dynamic work culture that champions innovation and collaboration. As a Senior Full-Stack Engineer, you'll enjoy the autonomy to drive technical decisions while working alongside a team dedicated to modern engineering practices and AI-enabled development. Our commitment to employee growth is reflected in our investment in cutting-edge technologies and continuous learning opportunities, making this an exceptional place for those seeking meaningful and rewarding careers in a vibrant location.
