Data Engineer
Posted Updated
Summary
Data Engineer in Barcelona (hybrid, 3 days/week onsite) building and scaling high-throughput batch and streaming data pipelines and ETLs for AI-driven applications. Core stack includes Spark/Hadoop/Kafka, Python/Scala/Java, SQL and NoSQL stores, AWS, Kubernetes, and ML data techniques like embeddings and knowledge graphs.
We're Hiring: Data Engineer (Hybrid - Barcelona)
We are expanding our core engineering team. We are looking for an experienced Data Engineer who thrives on architecting, building, and scaling high-throughput data systems for AI-driven applications.
What You'll Do:
- Design and maintain scalable, high-throughput batch and streaming data pipelines and ETLs.
- Architect data storage and retrieval systems using SQL and NoSQL technologies.
- Work with cloud infrastructure on AWS and Kubernetes environments.
- Integrate ML-based data representation techniques, including embeddings, Knowledge Graphs, and search systems.
What We're Looking For:
- 4+ years of hands-on data engineering experience.
- Strong background in big data frameworks (Spark, Hadoop, Kafka, or equivalent) and Python, Scala, or Java.
- Experience with cloud infrastructure, containerization, and data architectures.
- Fluency in English or Spanish.
What We Offer:
- Competitive salary, stock options, flexible benefits, and hybrid work (3 days/week onsite in Barcelona).
Interested? Apply directly or send a message to connect.