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Salary: EUR 35,000 - 50,000 / annual
Flanks is a Barcelona-based fintech SaaS platform (founded 2019, €23M funded) that simplifies wealth management for banks, family offices, and wealth managers by providing a unified view of clients' financial assets.
As a Mid-Level Backend Engineer, you will design, build, and optimize the data pipelines and backend services that power Flanks' data infrastructure. You will own the full lifecycle of data ingestion and transformation—from understanding business requirements through production deployment—and directly shape the backend systems that enable data-driven decision-making across the organization.
Key responsibilities:
- Design, develop, and maintain scalable ETL/ELT pipelines to ingest, transform, and load data from multiple disparate sources into core systems
- Write clean, efficient Python code with strong focus on performance, applying optimal data structures and algorithms for high-volume datasets
- Collaborate on database schema design (SQL and NoSQL) and own query performance optimization for fast, accurate data access
- Implement unit tests, integration tests, and data quality checks to guarantee pipeline integrity before production
- Deploy and iterate on pipelines using CI/CD practices and containerization (Docker), participating in code reviews to uphold team standards
- Understand financial data and formulas you will implement; develop curiosity about how financial markets work
The role offers hybrid work with flexible hours, a Barcelona office between Sants Estació and Plaça Espanya, paid birthday day off, weekly fresh fruit/coffee/tea, Friday happy hours, team-building events, health insurance via Alan, subsidized digital canteen (Kombo), and yearly training budget.
Requirements:
- Strong Python and/or JavaScript engineering skills with focus on performance, memory efficiency, and production-grade code
- Solid experience building and operating data pipelines (ETL/ELT patterns, pipeline orchestration, large-scale data ingestion) or backend services for products, ideally with Elasticsearch exposure
- Familiarity with both SQL and NoSQL databases, including schema design and query optimization
- Ability to work autonomously: take high-level requirements, define scope, and drive to production
- Ability to navigate unfamiliar codebases quickly and contribute meaningfully early
- Experience with CI/CD workflows and containerization (Docker or similar)
- Willingness to learn financial data concepts and market mechanics
- Professional proficiency in both English and Spanish for bilingual collaboration
