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# Data Engineer

- **Company:** Cala Ai
- **Location:** Barcelona, Spain
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Big Data, Cloud Computing, Information Engineering, Extract Transform Load (ETL), Data Systems, DevOps, Programming Tools, Elasticsearch, Github, Graph Database, Neo4j, NoSQL, SQL Databases, Data Streaming, Data Representation, Backend, Containerization, Kubernetes, Cassandra, Search Engines, Data Pipelines
- **Published:** July 25, 2026
- **Apply:** https://www.jobleads.com/es/job/e1864ee2d83d395dd87b18f0d10737eef

## About the Role

* Big data pipelines (Spark, Hadoop, Kafka or equivalent)
 * Python or Scala (Java welcome)
 * AWS
 * Search and graph databases (Elasticsearch, Neo4j) are a nice to have
 * DevOps practices, * 4+ years of hands-on data engineering experience, with real depth - you've gone deep, not wide and shallow
 * Able to reason about and justify your technical decisions: pros, cons, why A over B
 * Builders at heart: hackathons, side projects, open-source contributions, active GitHub are all highly appreciated
 * Curious about how things work end-to-end, including the parts adjacent to your own - infrastructure, backend, the systems your data feeds
 * Curious about the AI ecosystem and modern developer tooling
 * Comfortable in a fast-moving startup environment
 * C1+ level in either English or Spanish (fluency in either is acceptable), * Initial chat with team member focused on experience and projects
 * System design interview with CTO (onsite preferred)

## Description

We're looking for an experienced data engineer with depth.

You'll come from a Data Engineering background - big data pipelines, storage systems, processing frameworks - but what matters most is your motivation to build across layers and solve complex problems end-to-end. Data is your anchor, but this is a high-impact engineering position for someone who enjoys working with multiple parts of the system rather than in a narrow specialization.

You'll architect, build, and scale the data systems that power large-scale AI-driven information verification and representation, engaging with emerging information representation systems like embeddings, Knowledge Graphs, and search engines to help shape the future of AI-driven data.

What you'll do

 * Design and maintain scalable, high-throughput data pipelines and ETLs (batch and streaming)
 * Architect data storage and retrieval systems using SQL and NoSQL technologies (Cassandra, graph databases) for efficient processing
 * Collaborate closely with the team on system design and data modeling
 * Work with cloud infrastructure on AWS and containerized environments (Kubernetes)
 * Integrate and experiment with ML-based data representation techniques and emerging AI engineering tooling
 * Contribute to a culture of clean, pragmatic, high-quality engineering


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