About the jobWe 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 ResponsibilitiesDesigning 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 stackGoogle Cloud Platform (GCP)Advanced SQL and Python programmingSpark for batch processing and data analyticsGit and DockerRequired Hard Skills and EducationDegree (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 haveBackground 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.BenefitsFrom 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.Adaptable 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!