At a Glance
- Tasks: Design and enhance scalable ETL/ELT pipelines for large-scale financial datasets.
- Company: Kapital Consulting, a leader in innovative data solutions.
- Benefits: Competitive salary, flexible work arrangements, and opportunities for professional growth.
- Other info: Dynamic role with a focus on high-performance engineering.
- Why this job: Join a collaborative team and make an impact on real-time data solutions.
- Qualifications: Experience with Kafka, RabbitMQ, and cloud environments is essential.
The predicted salary is between 63000 - 77000 $ per year.
Kapital Consulting is seeking a data engineer to design and enhance scalable ETL/ELT pipelines and real-time data solutions for large-scale financial datasets.
You will build robust data processing in cloud environments, using Kafka and Rabbit MQ, while ensuring data integrity and security.
The role emphasizes individual contribution within a collaborative team, with a focus on delivering high-performance engineering solutions.
Real-Time Data Engineer - Finance, Kafka & Cloud Pipelines in Sydney employer: Kapital Consulting
Our Client is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the rapidly evolving field of AI within Financial Services. Employees benefit from comprehensive growth opportunities, including hands-on experience with cutting-edge technologies and the chance to contribute to impactful projects that shape the future of finance. Located in a vibrant area, the company promotes a healthy work-life balance and encourages a supportive environment where every team member's contributions are valued.
