Data Engineer With Ai Focus

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 ResponsibilitiesDesigning and maintaining ETL processes on Google Cloud (BigQuery, GCS, Dataproc, Airflow)Setting up data integrations with various servicesWorking with large-scale financial and behavioral datasetsContributing to the evolution of our data platform and best practicesBuilding analytics-ready data models for AI / ML / LLM systemsImplementing AI solutions in data engineering and analytics (RAG, agents)Collaborating closely with analytics and finance teamsCore stackGoogle Cloud PlatformStrong SQL and Python programming skillsSpark for batch data processing and analyticsGit, Docker¿ Required Hard Skills and EducationBachelor’s degree or higher in Physics, Mathematics, Engineering, or related field2-4 years of experience as a Data Engineer or Analytics EngineerEnglish B1-B2 is a must-haveSolid understanding of data pipelines and data warehousing conceptsExperience working with cloud-based data platformsGenuine interest in AI-driven analytics, ML, LLMs, and causal approachesNice to haveUnderstanding of ML/feature engineeringHands-on experience with LLM frameworks such as LangChain or PydanticAI, vector databases (e.g. Qdrant)Understanding of RAG (Retrieval-Augmented Generation) architecturesFamiliarity with embedding models and semantic search conceptsMentoring experienceWhat we offer:Work with real fintech data and tangible business impactClear growth path towards AI and advanced analytics with support from senior engineersModern data stack on Google CloudAutonomous, low-bureaucracy team cultureFrom 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 kitchenCompetitive salary based on experience and skillsNo dress code policyFree parking space if you are coming by carFlexible working scheduleCareer development opportunities based on business needsTeam building and two corporate parties a year!23 paid vacation business daysAfter a probation period:Private health insuranceCoverage for up to 50% of your language classes, sports membership, and mental health supportIs this your next opportunity? Apply now and don’t miss it!

¿ 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

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 Flexible 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!