Are you a Data Engineer / Architect seeking a new interesting challenge ? If your answer is yes, it's your lucky day so keep reading, it can be just what you're looking for

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WHAT WILL YOU DO?

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- Design and implement Data as a Service (DaaS) architectures for operational use cases.
- Define multi-persistence models across event-driven, real-time operational, structured and unstructured data domains.
- Build consumption services and reusable interfaces for downstream applications and consumers.
- Improve reliability, scalability, availability and operational support of enterprise data platforms.
- Translate banking requirements into robust data architecture and engineering solutions.
- Collaborate with customer platform teams, architects and technical stakeholders.
- Design and support high-availability data services with operational SLAs.
- Drive best practices across data engineering, architecture and platform evolution.





WHAT (TECHNOLOGIES/METHODOLOGIES/TOOLS) WILL YOU USE?

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- Data as a Service (DaaS) Architectures
- Distributed Data Processing Platforms
- Event-Driven Architectures
- Real-Time Data Processing Solutions
- Structured & Unstructured Data Platforms
- Data Governance, Lineage & Security Frameworks
- Cloud Data Engineering Technologies (AWS preferred)
- Agile Methodologies

WHAT ARE WE LOOKING FOR?

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- Strong senior-level experience in large-scale Data Engineering and Data Architecture environments.
- University degree, FP qualification or equivalent professional experience in Computer Science, Data Engineering, Telecommunications or a related discipline.
- Hands‑on experience designing and implementing large‑scale data platforms.
- Experience designing operational data services with availability SLAs.
- Experience with distributed data processing, event-driven and real-time data architectures.
- Strong understandin

📌 Data Engineer (Madrid)
🏢 Tamarind Intelligence
📍 Madrid