Data Systems Architect for AI-Powered Finance

hace 2 semanas


Madrid, Madrid, España Ravenpack A tiempo completo

About Us
RavenPack is a leading big data analytics provider for the finance industry, empowering clients with innovative tools and services. With 20 years of experience, we deliver cutting-edge solutions to enhance returns, reduce risk, and increase efficiency.

A New Era in Finance
We are now launching a new suite of GenAI and SaaS services designed specifically for financial professionals. Our Bigdata platform transforms financial decision-making by ingesting, managing, and indexing unstructured financial data at scale.

The Role
As a Senior Data Engineer, you will play a pivotal role in building and maintaining our Bigdata Store system. You will design, implement, and maintain robust data pipelines to stream real-time content and manage efficient onboarding of content archives. Collaborate closely with cross-functional teams to ensure scalability, reliability, and performance of our systems.

About the Bigdata Store
This innovative platform provides seamless access to vast collections of structured and unstructured datasets, accessible through its API or directly via the Bigdata AI assistant. Businesses, researchers, and developers can leverage data-driven insights more effectively, enhancing decision-making processes.

Your Responsibilities
- Design and optimize robust data pipelines to collect, process, and transform large volumes of unstructured data from diverse sources into our index.
- Collaborate with product managers and stakeholders to understand requirements and translate them into technical solutions.

What We Offer
- An estimated salary of $120,000 - $180,000 per year, commensurate with experience, based on similar roles in Madrid.
- The opportunity to work on a cutting-edge project that revolutionizes the finance industry.
- A dynamic and focused team environment with excellent communication and collaboration skills required.
- A chance to develop your skills in Python, Java, and other technologies driving innovation in finance.



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