Data Engineer with AI - Confidential
14 days ago
Barcelona
About the job We are seeking a Data Engineer (AI Focus) to join the Finance & Analytics team at a Fintech company on an on-site basis. In this role, you will design and maintain scalable ETL pipelines, manage large-scale financial datasets, and develop analytics-ready data models that power our AI, ML, and LLM solutions (including RAG and agent-based systems). Working within a collaborative and professional team environment, you will partner closely with finance and analytics stakeholders to evolve our data platform. Job Responsibilities • Designing and maintaining robust ETL processes on Google Cloud (BigQuery, GCS, Dataproc, Airflow)., • Establishing seamless data integrations across various services and platforms., • Managing and optimizing large-scale financial and behavioral datasets., • Contributing to the continuous evolution of our data platform and engineering best practices., • Constructing analytics-ready data models specifically for AI / ML / LLM systems., • Deploying AI solutions within data engineering workflows (RAG, autonomous agents)., • Partnering closely with internal analytics and finance teams. Core stack • Google Cloud Platform (GCP), • Advanced SQL and Python programming, • Spark for batch processing and data analytics, • Git and Docker ✨ Required Hard Skills and Education • Degree (Bachelor’s or higher) in Physics, Mathematics, Engineering, or a related quantitative field., • 2–4 years of professional experience in Data Engineering or Analytics Engineering., • English proficiency is essential., • Strong command of data pipeline architecture and warehousing concepts., • Hands-on experience with cloud-based data ecosystems., • A sincere interest in AI-driven analytics, LLMs, and causal modelling. Nice to have • Background in ML or feature engineering., • Experience with LLM frameworks (e.g., LangChain, PydanticAI) and vector databases (e.g., Qdrant)., • Understanding of Retrieval-Augmented Generation (RAG) architectures., • Knowledge of embedding models and semantic search., • Prior experience mentoring team members. What we offer: • Opportunity to work with high-impact fintech data in a real-world setting., • A defined career path toward AI and advanced analytics with senior engineering support., • Access to a modern data stack on Google Cloud., • A professional, autonomous, and low-bureaucracy culture. Benefits • From day one: Daily healthy lunches via catering (includes vegan, GF, and lactose-free options), fresh fruit, and a fully stocked kitchen., • Competitive salary aligned with your experience level., • Flexible working hours and a no-dress-code policy., • Free parking provided for those commuting by car., • 23 business days of paid vacation., • Regular team-building events and two major corporate parties per year., • After probation: Private health insurance plus 50% reimbursement for language classes, gym memberships, and mental health support. Does this sound like your next challenge? Apply today and discover more!