We are digital natives and technology-neutral thanks to our rapid adaptation capabilities and problem-solving skills in any business situation.
To address these, we have high-performance teams and the ability to quickly and effectively combine technologies.
We support our clients in their digital evolution to achieve maximum efficiency in their businesses, leveraging our extensive multi-sector experience.
You will lead the design, development, and maintenance of scalable and efficient data pipelines in Cloud. Your work will be essential to ensure the availability, quality, and governance of the data that drives our strategic decisions.
Design and develop scalable data pipelines and data services using Python and other relevant technologies, following software engineering best practices.
Build and maintain robust, automated ETL/ELT processes , focusing on clean, modular, reusable, and maintainable code.
Integrate data from multiple sources , including APIs, databases, files, and third-party systems, designing reliable and fault-tolerant integrations.




Develop APIs and data ingestion services when required to expose, consume, or orchestrate data across different systems.
Apply software engineering best practices , including version control, code reviews, testing, CI/CD, logging, monitoring, error handling, and documentation.
Optimize the performance and scalability of data ingestion and transformation processes, identifying bottlenecks and improving both code and infrastructure.
Work closely with Data Science, BI, Product, and Software Engineering teams to translate business and technical requirements into robust data solutions.
Design solutions with security, data quality, governance, and regulatory compliance in mind , following AWS and industry best practices.
Contribute to technical decisions and architecture , helping evolve our data platform and development standards.
Strong experience developing in Python, particularly for data processing, transformation, integr

📌 Ingegnere dei dati (Madrid)
🏢 INNOCV Solutions S.L.U.
📍 Madrid