About the role:
We’re looking for a Data Engineer (AI Focus) to join our Finance team on-site. You’ll design and maintain scalable ETL pipelines, work with large-scale financial datasets, and build analytics-ready data models to power AI/ML/LLM solutions (including RAG and agent-based systems). Working closely with finance and analytics stakeholders, you’ll help evolve our data platform in a friendly, professional team environment.

Job Responsibilities
Designing and maintaining ETL processes on Google Cloud (BigQuery, GCS, Dataproc, Airflow)
Setting up data integrations with various services
Working with large-scale financial and behavioral datasets
Contributing to the evolution of our data platform and best practices
Building analytics-ready data models for AI / ML / LLM systems
Implementing AI solutions in data engineering and analytics (RAG, agents)
Collaborating closely with analytics and finance teams
Core stack
Google Cloud Platform
Strong SQL and Python programming skills
Spark for batch data processing and analytics
Git, Docker
¿ Required Hard Skills and Education
Bachelor’s degree or higher in Physics, Mathematics, Engineering, or related field
2–4 years of experience as a Data Engineer or Analytics Engineer
English B1-B2 is a must-have
Solid understanding of data pipelines and data warehousing concepts
Experience working with cloud-based data platforms




Genuine interest in AI-driven analytics, ML, LLMs, and causal approaches
Nice to have
Understanding of ML/feature engineering
Hands-on experience with LLM frameworks such as LangChain or PydanticAI, vector databases (e.g. Qdrant)
Understanding of RAG (Retrieval-Augmented Generation) architectures
Familiarity with embedding models and semantic search concepts
Mentoring experience
What we offer:
Work with real fintech data and tangible business impact
Clear growth path towards AI and advanced analytics with support from senior engineers
Modern data stack on Google Cloud
Autonomous, low-bureaucracy team culture
From your first day:
Healthy lunches from our catering partners (gluten-free, lactose-free, vegetarian, and vegan options available)
Daily fresh fruits, healthy snacks, and a fully stocked kitchen
Competitive salary based on experience and skills
No dress code policy
Free parking space if you are coming by car
Adaptable working schedule
Career development opportunities based on business needs
Team building and two corporate parties a year!
23 paid vacation business days
After a probation period:
Private health insurance
Coverage for up to 50% of your language classes, sports membership, and mental health support
Is this your next opportunity? Apply now and don’t miss it!

📌 Data Engineer with AI focus (Barcelona)
🏢 Empresa líder
📍 Barcelona