Cala AI is hiring a Data Engineer: from the founders of Vilynx (acquired by Apple), join a EuroSeed50 startup building AI systems for large-scale information verification.
Stock options, versátil benefits (transport, meals, health insurance), no-coding-test hiring process, high ownership/autonomy at early stage
Recently, Cala AI was named by Creandum to their #EuroSeed50 list - highlighting the most promising early-stage startups in Europe - an honor that reflects the strong belief in our mission and team. We are now growing our engineering team with an experienced Data Engineer who enjoys working across boundaries - data, backend, infrastructure, and applied AI.
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.
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
Big data pipelines (Spark, Hadoop, Kafka or eq

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