Who are we?

Se anima a todos los posibles solicitantes a que se desplacen y lean la descripción completa del puesto antes de presentar su candidatura.
We are part of the Alkemy Group, specializing in driving growth through our technological expertise, tackling complex challenges, and fostering operational excellence.

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- We are digital natives and technology-neutral thanks to our rapid adaptation capabilities and problem-solving skills in any business situation.
- We are passionate about technology challenges that have a significant impact on business. 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.

We invite you to get to know us in depth by exploring the various sections of our website.

What will you do?
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.

Specifically, you will:

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- Design and develop scalable data pipelines and data servicesusing 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 serviceswhen 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 scalabilityof data ingestion and transformation processes, ide

📌 Data Engineer (Madrid)
🏢 INNOCV Solutions S.L.U.
📍 Madrid