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# Data Engineer (AI Focus)

- **Company:** Bip Group
- **Location:** Madrid, Spain
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Data Analysis, BigQuery, Information Engineering, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Warehousing, Python (Programming Language), Machine Learning, Standard Sql, Cloudera, Search Technologies, Data Processing, Google Cloud, Cloud Platform System, Feature Engineering, Retrieval-Augmented Generation, Large Language Models, Apache Spark, GPT, Data Pipelines
- **Published:** September 24, 2026
- **Apply:** https://www.adzuna.es/contact-us.html

## About the Role

¿ 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

## Description

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 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