Who are we?

We are part of the Alkemy Group, specializing in driving growth through our technological expertise, tackling complex challenges, and fostering operational excellence.

• 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?

• Design, develop, and maintain scalable data pipelines using PySpark to process large volumes of data efficiently.

• Build, test, and optimize Machine Learning models for predictive analytics, including regression, classification, and clustering techniques.

• Manage and deploy ML environments and workflows using AWS SageMaker and perform data analysis through Athena.

• Integrate Machine Learning models into production pipelines, ensuring proper monitoring, maintenance, and continuous improvement through MLOps practices.

• Work closely with cross-functional teams to understand business needs and translate them into data-driven solutions.

• Perform advanced data analysis using Python (Pandas, NumPy, Scikit-learn) and SQL to generate actionable insights.

• Collaborate using Git/GitHub following best practices for version control and team development workflows.

What do we value?

• 2–3 years of experience in Data Engineering, Machine Learning, or related roles.

• Advanced proficiency in Python, including libraries such as Pandas, NumPy, and Scikit-learn.

• Strong SQL skills for data querying, transformation, and analysis.

• Hands-on experience with PySpark for large-scale data processing.

• Solid understanding of Machine Learning algorithms, including regression, classification, clustering, and hyperparameter optimization techniques.

• Experience working with AWS services, especially SageMaker and Athena.

• Knowledge of MLOps practices and experience integrating and monitoring ML models in production environments.

• Familiarity with Git and collaborative development workflows using GitHub.

• Analytical mindset with strong problem-solving capabilities.

• Curiosity, autonomy, attention to detail, and a collaborative team-oriented attitude.

If you are a person who likes to be updated on the latest trends, restless to try new technologies, and you like to find other ways of doing things, this is the place for you. If you consider yourself a team player who defends Fair Play above all... there is a team waiting for you!

What do we offer you?

In this company, you can be yourself and work with colleagues equally passionate about technology and innovation, ready to support you at all times. We want to see you evolve and grow with us. To that end, we invest in your professional development with training, tech breakfasts, and attendance at forums. We are advocates of continuous learning, which is why we provide a personal budget for staying up to date with market trends.

We care about well-being and happiness at work, which is why we listen to needs to offer the best working conditions in a unique human environment. Due to the emphasis we place on flexibility and work-life balance, we won the Madrid Flexible Company Award in 2020 and received an honorable mention in 2022.

This is a WIN-WIN, and we have 42 benefits to offer you, but here are some highlights:

💻 100% remote work
⏰ Flexible hours
👏 Special timetable: Fridays and summer 7h.
📖 Individual budget for attending forums and training
🏅 English classes
🩺 Health insurance
🏖️ Every three years, 6 extra days off.
🎁 Day off on your birthday
🗣️ Bring a friend and benefit from it
🥳 Flexible compensation
🧘‍♂️ Wellness - Gympass
🌳 Volunteering opportunities
🎊 Company events and team buildings

To learn more about us, the protagonists of INNOCV will share more about the company.

If you identify with our work philosophy and share our passion for INNOvation and Code Vocation, we want to meet you!

Loyal to our commitment with diversity and inclusion, we encourage everybody to apply, especially those belonging to underrepresented groups such as LGTBIQ+ members and those with disabilities.