TL;DR
Senior Data Engineer (Fintech): Driving the AI revolution and data ecosystem by building the infrastructure that enables hirify.global to lead the Gen-AI revolution in the financial sector with an accent on Machine Learning, LLMs, and Agents. Focus on designing, deploying, and evolving ELT/ETL pipelines from diverse sources.
Location: Madrid (Hybrid: 4 days office / 1 day WFH)
Company
hirify.global is a global fintech firm dedicated to empowering businesses to expand internationally through tailored and forward-thinking financial solutions.
What you will do
- Architect and innovate ELT/ETL pipelines from diverse sources (APIs, transactional DBs, file-based endpoints).
- Actively contribute to building the infrastructure for ML models and LLM-powered Agents.
- Work closely with stakeholders to identify high-impact opportunities.
- Apply top-tier software practices (SDLC, RFCs, unit testing) to ensure platform scalability.
- Benefit from a personalized 30/60/90 day plan designed to help you thrive from day one.
Requirements
- Python & SQL Mastery (+5 years of experience).
- Agile problem solver, delivering smart technical solutions at speed.
- Proactive and "business-curious", wanting to understand the impact of code on the bottom line.
- Fluent in English (global team).
Nice to have
- Hands-on experience with LLMs, Vector Databases, or AI Agents.
- Deep knowledge of DuckDB or DLT.
- Strong foundations in Dimensional Modeling and Data Warehousing.
- Spanish language skills (a plus for office life in Madrid!).
Culture & Benefits
- Join a collaborative environment where Data Engineers, Data Scientists, Analytics Engineers, and Analysts work as one.
- Modern hybrid model in our Madrid office to keep the team spirit alive while respecting your focus time.
- Follow Open Source principles internally and encourage contribution to external projects.
- Personal development through certifications and specialized training.
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