Experteer Overview

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In this role you will design and deliver data platform architectures to support analytics, ML, and AI workflows at a fast-growing quantum software company. You will own end-to-end data pipelines, catalogs, and governance, ensuring clean, versioned data accessible for teams and clients. You’ll work with cross-functional teams to translate requirements into scalable lakehouse solutions and drive data stewardship and reproducibility. This position offers exposure to cutting-edge tech and a mission-driven, inclusive culture.

Compensaciones / Ventajas
• Own end-to-end design and delivery of data platform architectures (lakehouse, data catalog, governance) from scoping to production release
• Design, implement, and operate large-scale ETL/ELT pipelines and workflow orchestration for clean, accurate, versioned data
• Define data modeling, partitioning, schema evolution,



and versioning conventions to keep datasets queryable and reproducible
• Establish authoritative data catalogs with schemas, metadata, lineage, sensitivity labels, and access policies
• Validate released datasets against sources for completeness, correctness, and performance with objective acceptance criteria
• Collaborate with ML/AI engineers to make data products consumable by analytics, APIs, and AI/agent workflows
• Lead knowledge transfer with clients and cross-functional teams; mentor and review designs/code to raise engineering standards
• Stay up to date with data engineering trends (open table formats, data catalogs, orchestration) and drive adoption where valuable

Responsabilidades
• Bachelors or master's degree in computer science, software engineering, or a related field
• 4+ years of professional data engineering experience with ownership of production data platforms or pipelines
• Expert Python programming and strong SQL
• Data modelin

📌 Senior Data Engineer (San Sebastián)
🏢 Multiverse Computing
📍 San Sebastián