Data Engineer

hace 2 semanas

Madrid, Madrid, España RavenPack A tiempo completo
About RavenPack

We are a leading big data analytics provider for financial services, empowering clients to enhance returns, reduce risk, and increase efficiency by integrating public information into their models and workflows. Our expertise spans 20 years, and we are now launching a new suite of GenAI and SaaS services designed specifically for financial professionals.

Our mission is to power the future of finance with AI, and we are seeking a talented Data Engineer to join our team in Madrid. As a Data Engineer, you will play a pivotal role in building and maintaining our cutting-edge Bigdata Store, a critical new initiative to revolutionize how we ingest, manage, and index unstructured financial data at scale.

About the Role

As a Data Engineer, you will design, implement, and maintain robust data pipelines to stream real-time content and manage efficient on-boarding of content archives. You will work closely with cross-functional teams to ensure scalability, reliability, and performance of our systems. Your expertise in Python and Java will be instrumental in architecting and implementing serverless architectures for efficient resource utilization and scalability.

The Bigdata Store is an innovative platform designed to provide seamless access to vast collections of structured and unstructured datasets. These datasets can be directly accessed by the Bigdata AI assistant and through its API, enabling businesses, researchers, and developers to leverage data-driven insights more effectively.

Key Responsibilities
  • Design, build, and optimize robust data pipelines to collect, process, and transform large volumes of unstructured data from diverse sources into our new index.
  • Collaborate with product managers and stakeholders to understand requirements and translate them into technical solutions.
  • Architect and implement serverless architectures for efficient resource utilization and scalability.
  • Ensure code quality, performance, and security through code reviews, testing, and best practices.
  • Troubleshoot and debug production issues, providing timely resolutions to ensure system reliability.
  • Stay updated with emerging technologies and industry trends, recommending and incorporating relevant tools and practices into the development process.
Requirements
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Proven experience as a Software Engineer with expertise in Python and Java using frameworks like SpringBoot, Quarkus or similar.
  • Hands-on experience with CI/CD pipelines (e.g., Jenkins, GitLab CI, Travis CI).
  • Familiarity with containerization technologies (Docker, Kubernetes).
  • Experience with cloud platforms and services (AWS, Azure, GCP).
  • Knowledge of serverless architectures and experience with related technologies (AWS Lambda, Azure Functions, Google Cloud Functions).
  • Hands-on experience with relational and no-SQL databases.
  • Solid understanding of software development best practices, design patterns, and clean code principles.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration abilities.
What We Offer
  • Work in the center of Madrid, a cosmopolitan city and the center of cultural activity in Spain.
  • Growth Opportunity: Join a team building AI that truly matters, contributing to making Gen-AI useful for finance and business research in a rapidly growing company with 180+ team members across offices in Marbella and New York.
  • You will have ownership of projects working in a collaborative environment where we will value your contribution.
  • You will work in an agile environment able to react quickly to changes with a fairly flat hierarchy.
  • As we encourage continuous learning, we will support your ongoing training.
  • Diversity is in our DNA You will work in an international environment (over 29 nationalities and 24 languages spoken).

We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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