Senior Backend Engineer - Structured Data - RavenPack
Senior backend engineer at RavenPack (hybrid, Marbella) building scalable data systems and high-throughput ETL/ELT pipelines that power AI workflows for finance. Day to day: Python services, REST/MCP APIs, AWS serverless/container infrastructure, Airflow automation, and Datadog observability.
- Compensation
- Not disclosed
- Location
- MARBELLA, Spain
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Backend
- Posted
Skills
Must have
- Bachelor's or Master's degree in a technical field
- 5+ years of software engineering experience
- Proficiency in Python
- Experience designing REST APIs
- Familiarity with relational and NoSQL databases (Postgres, Oracle, DynamoDB, Time-series, Snowflake)
- Proven ETL/ELT pipeline development and scaling
- Hands-on AWS experience (S3, Lambda, etc.)
- Bash scripting, Docker containerization, Git
- Strong communication and cross-functional collaboration in English
- Ability to convey complex ideas clearly in English
Nice to have
- PhD (preferred but not required)
Full description
Overview
In this role, you will design, build, and operate scalable, high-performance systems that power data-driven AI workflows for finance. You will collaborate with data scientists, product managers, and engineers to deliver technically sophisticated solutions that align with our GenAI platform. You will tackle complex backend and data engineering challenges, shaping how financial data is ingested, processed, and served. This is an opportunity to influence the growth of a fast-paced, innovative AI data platform with real-world impact.
Compensaciones / Beneficios
- Hybrid work arrangement
- Competitive salary
- Continuous learning
- Innovation culture
- Shuttle bus Málaga
- Diversity and international environment
Responsabilidades
- Architect, develop, and maintain scalable backend systems for data-driven solutions
- Design and implement high-throughput ETL/ELT pipelines for structured and semi-structured data
- Lead workflow automation using tools like Apache Airflow or AWS Step Functions
- Build and maintain high-concurrency REST and MCP APIs
- Design and deploy AWS infrastructure supporting end-to-end apps (Serverless and Containerized)
- Champion clean, tested, and maintainable code with strong CI/CD and performance tuning
- Implement full-stack observability with tools like Datadog for high availability and rapid incident response
Requisitos principales
- Bachelor's or Master's degree in a technical field (PhD preferred but not required)
- 5+ years of software engineering experience
- Proficiency in Python
- Experience designing REST APIs
- Familiarity with relational and NoSQL databases (Postgres, Oracle, DynamoDB, Time-series, Snowflake)
- Proven ETL/ELT pipeline development and scaling
- Hands-on AWS experience (S3, Lambda, etc.)
- Bash scripting, Docker containerization, Git
- Strong communication and cross-functional collaboration in English
- Strong communication skills
- Cross-functional collaboration
- Ability to convey complex ideas clearly in English
- Python
- REST API development
- APIs like MCP (Model Context Protocol)