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As a Senior Data Engineer, you will develop and maintain our central data ecosystem, ensuring we extract maximum strategic value from our global data assets. You will be responsible for building, scaling, and governing high-value data products that serve as the "single source of truth" for team.blue and its 60+ sub-brands. This role is pivotal in transforming raw data into a sophisticated semantic layer that powers business intelligence, operational efficiency, and cutting‑edge AI initiatives.
Key Responsibilities
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- Data Product Innovation: Design and deliver high‑quality, scalable data products that provide a unified source of truth across a complex ecosystem of 60+ global sub-brands.
- Pipeline Engineering: Build and optimize robust ETL/ELT pipelines to ingest and transform massive volumes of structured and unstructured data, ensuring high availability and low latency for downstream consumers.
- Architectural Leadership:
Lead the design of secure, cost‑efficient data architectures. Establish and enforce best practices in data modeling, orchestration, and observability.
- Governance & Integrity: Implement rigorous data governance frameworks, including lineage tracking, metadata management, and quality controls to ensure a reliable semantic layer for AI and ML use cases.
- Cross‑Functional Collaboration: Act as a strategic "sparring partner" for Analytics, ML, and AI teams, translating complex business requirements into high‑performing technical solutions.
- Platform Optimization: Manage and tune data platforms for peak performance, focusing on indexing strategies, query optimization, and schema evolution.
- Mentorship: Elevate the collective expertise of the engineering team by mentoring junior members and fostering a culture of technical excellence.
Your Strengths
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- Strategic Thinker: You don't jus
📌 Senior Data Engineer (Firenze)
🏢 Team.Blue
📍 Firenze
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