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.
Designing and maintaining ETL processes on Google Cloud (BigQuery, GCS, Dataproc, Airflow)Setting up data integrations with various servicesContributing 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)Google Cloud PlatformStrong SQL and Python programming skillsSpark for batch data processing and analyticsGit, Docker
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~ Hands-on experience with LLM frameworks such as LangChain or PydanticAI, vector databases (e.g. 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 CloudFree parking space if you are coming by car~ Flexible working schedule~ Private health insuranceApply now and don't miss it!