Senior Backend Engineer Structured Data
Job Summary
At RavenPack we are at the forefront of developing the next generation of generative AI tools for the finance industry and beyond. With 20 years of experience as a leading big data analytics provider for financial services we empower our clientsincluding some of the worlds most successful hedge funds banks and asset managersto enhance returns reduce risk and increase efficiency by integrating public information into their models and workflows. Building on this expertise we are launching a new suite of GenAI and SaaS services designed specifically for financial professionals.
Join a Company that is Powering the Future of Finance with AI
RavenPack has been recognized as the Best Alternative Data Provider by WatersTechnology and has been included in this years Top 100 Next Unicorns by Viva Technology. RavenPack has launched Bigdata our Gen-AI platform tailored for finance which is already being recognized as the #1 platform for powering financial AI agents.
European legal working status is required.
We are seeking an experienced and innovative Senior Software Engineer to join our dynamic team. This role offers a unique opportunity to contribute to the development of cutting-edge AI agentic workflows and pioneering data-driven solutions. You will be at the forefront of designing building and deploying scalable high-performance systems that enable our organization to unlock the full potential of data innovation.
As a Senior Software Engineer you will work closely with multidisciplinary teams including Data Scientists Product Managers and other Engineers to deliver technically sophisticated and strategically aligned solutions. This position is ideal for someone who thrives in a fast-paced collaborative environment where their expertise will play a key role in tackling complex challenges driving innovation and shaping the future of data-driven solutions in our organization.
System Design & Development: Architect develop and maintain scalable high-performance systems that serve as the backbone for data-driven solutions and robust backend applications.
Data Pipeline Engineering: Design and implement high-throughput ETL/ELT pipelines for structured and semi-structured data ensuring seamless ingestion processing and data integrity.
Workflow Orchestration: Lead the automation of complex data and application lifecycles using orchestration tools like Apache Airflow or AWS Step Functions.
API & Backend Services: Build and maintain high-concurrency REST and MCP (Model Context Protocol) APIs bridging the gap between data layers and front-facing applications.
Infrastructure & Deployment: Design and deploy the necessary AWS infrastructure to support end-to-end applications leveraging a mix of Serverless (Lambda) and Containerized (Docker/ECS) technologies.
Code Excellence: Champion clean efficient and maintainable codebases by enforcing industry best practices including comprehensive testing version control and performance tuning.
Production Observability: Implement and manage a full-stack observability suite (e.g. Datadog) to ensure high availability proactive monitoring and rapid incident response.
Bachelors or Masters degree in Computer Science Engineering or a related technical field (Ph.D. preferred but not required).
5 years of experience in software engineering.
Proficiency in Python
API Development: Proven experience in the design and development of REST APIs
Database Versatility: Familiarity with a wide range of database technologies including Relational (Postgres Oracle) NoSQL (DynamoDB) Time-series and Cloud Data Warehouses (Snowflake).
ETL/ELT Development: Proven experience building and scaling production data pipelines. You should be highly proficient with core AWS data services such as S3 Lambda
Hands-on experience with cloud platforms such as AWS.
Experience with scripting languages like Bash for automation and scripting tasks.
Experience with containerization technologies such as Docker.
Experience with Git.
Strong communication skills with the ability to collaborate across cross-functional teams and convey complex ideas clearly in English both verbally and in writing.
Experience developing Model Context Protocol (MCP) APIs.
Familiarity with warehousing technologies such as Snowflake.
Serverless Architectures: Hands-on experience developing and scaling Serverless APIs (e.g. AWS Lambda with API Gateway).
Growth Opportunity: Join a rapidly growing company with 180 team members with offices in New York Madrid and Marbella building AI that truly matters for business and finance.
Competitive Salary: In RavenPack we believe that your time and experience needs to be fairly rewarded.
Continuous learning: We provide the support needed to grow within the team.
Innovation: Innovation is the key to our success so we encourage you to speak up and tell us about your vision.
Hybrid work arrangement: 3 days in the office 2 days remote (post-onboarding).
Shuttle bus (Málaga): From Malaga Fuengirola La Riviera and Estepona is available for free from the company.
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 colour national origin gender sexual orientation age marital status veteran status or disability status.
About Company
RavenPack is a global leader in financial data and intelligence, helping organizations turn vast amounts of unstructured information into decision-ready insight.Since 2003, RavenPack has focused on solving one of finance’s most persistent challenges: data is abundant, but usable data ... View more