Data Engineer with AI

  • Tiempo completo
  • catalonia

Georgeci

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 Responsibilities

  • Designing and maintaining ETL processes on Google Cloud (BigQuery, GCS, Dataproc, Airflow)
  • Setting up data integrations with various services
  • Working with large-scale financial and behavioral datasets
  • Contributing to the evolution of our data platform and best practices
  • Building analytics-ready data models for AI / ML / LLM systems
  • Implementing AI solutions in data engineering and analytics (RAG, agents)
  • Collaborating closely with analytics and finance teams

Core stack

  • Google Cloud Platform
  • Strong SQL and Python programming skills
  • Spark for batch data processing and analytics
  • Git, Docker

✨ 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

What we offer:

  • 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

Benefits

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!

Por favor, para solicitar este trabajo visita es.whatjobs.com.