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Senior Data Engineer

Summary

Build and maintain data pipelines and ETL workflows in Python, orchestrating data ingestion from multiple sources for an AI-powered fintech using Kubernetes, Airflow, and cloud platforms.

I am looking for a Senior Data Engineer with strong Python experience and a strong understanding with RAG systems for an exciting AI Fintech. This role is a hybrid position based in Madrid, Spain where you will be expected to collaborate 2-3 days a week. For this position, you can be expected to be paid in the region of €60-€85,000 plus benefits.


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As the Senior Data Engineer for this role, you will be responsible for building and maintaining end-to-end data ingestion and ETL pipelines. Ingest structured and unstructured data from a variety of sources and market data providers, using Kubernetes and other workflow tools to orchestrate. Develop high-quality Python code and data flows. Any experience in designing schemas and transformation layers for analytics and AI agents/RAG systems.

For the Senior Data Engineer, I am looking for:

  • Strong Python (advanced, production-ready)
  • Advanced SQL
  • ETL/ELT pipeline design and orchestration (Airflow, ADF, Databricks, or similar)
  • Experience with RAG systems, embeddings, and vector databases
  • Hands-on experience with cloud systems: Azure, AWS
  • API xqbhyrx and database integration

Nice-to-Have:

  • Experience with Snowflake and Oracle
  • Data Lakehouse architectures
  • LLM evaluation and prompt engineering
  • Experience building AI or data platforms

If you are interested in understanding more around my client and applying for this position, please contact me on


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