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!