OverviewIn 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 / BeneficiosHybrid work arrangement
Competitive salary
Continuous learning
Innovation culture
Shuttle bus Málaga
Diversity and international environment
ResponsabilidadesArchitect, 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 principalesBachelor'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