Data Scientist - Infrastructure

We are looking for a technical profile with at least 2 years of experience, accustomed to working with cloud environments, process automation, system integration, and deploying analytical solutions into production.

• At least 2 years of previous experience as a Data Scientist, Data Engineer, Analytics Engineer, Machine Learning Engineer, or similar profile.
• Experience working with data infrastructure, cloud environments, or deploying analytical solutions.
• Solid knowledge of Python and/or R.
• Advanced knowledge of SQL and relational databases.
• Experience developing pipelines, automated processes, or system integrations.
• Knowledge of APIs, batch processes, scheduled jobs, or data services.
• Good development practices: documentation, modularization, version control, validation, and maintenance.
• Ability to understand business needs and turn them into technical solutions.
• Good communication with both technical and non-technical profiles.

• Previous experience in the hotel, tourism, retail, revenue management, pricing sectors, or environments with a strong commercial focus.
• Knowledge of hotel metrics.
• Knowledge of AWS and Microsoft Fabric.
• Experience with Azure, Synapse, Databricks, or similar cloud environments.
• Experience with data warehouses, data lakes, lakehouses, or corporate data platforms.
• Knowledge of orchestration, monitoring, alerts, logs, and error control.
• Experience with near real-time processes or integrations between corporate applications.
• Knowledge of Docker, Git, CI/CD, or internal service deployment.

Additionally, as part of Grupo Hotusa, you will be able to enjoy the following benefits:

• 50% discount at our upscale hotels: You can benefit from discounts of up to 50% at all our magnificent 4*/5* hotels around the world and up to 20% for your family members.
• The Power Business School training: 100% free and unlimited access to all training programs (MBA, digital, office software, Skills, etc.) provided by our partner The Power Business School, the number 1 online business school on the market, taught by the industry's leading active professionals.
• Language Training: You will have access to our language training, both in-person and online.
• Access to our Employee Club: where you can benefit from different types of discounts and advantages of all kinds (leisure, technology, sports, fashion, etc.)
• Enjoy free hotel nights: with the Grupo Hotusa Referral Program, we reward recommendations that lead to hires. If you refer someone and we hire them, you receive free hotel nights.

From Eurostars Hotel Company, a leading company in the tourism and hotel sector, we are looking for a Data Scientist with a focus on infrastructure and data solutions to join our Data team.

The selected person will work alongside Data Scientists, Data Analysts, Data Engineers, IT teams, and business areas to develop robust, scalable data solutions oriented toward decision-making.

• Understand business needs and translate them into solid, maintainable technical solutions.
• Participate in the design, development, and maintenance of infrastructure for data and analytics solutions.
• Work on integrating data from APIs, databases, corporate systems, and cloud services.
• Develop automated processes for data extraction, transformation, validation, and loading.
• Design and maintain pipelines, scripts, jobs, and processes that support the Data team.
• Ensure quality, traceability, monitoring, and maintenance of developed processes.
• Collaborate with Data, IT, and business profiles to deploy stable and scalable solutions into production.
• Propose improvements in automation, performance, reliability, and error control.

• People with technical vision, business orientation, and the ability to build solutions that work in production.
• Autonomy, responsibility, and technical judgment.
• Ability to structure problems and propose maintainable and scalable solutions.
• Good communication and the ability to explain technical concepts simply.
• Interest in understanding the hotel business and how data can help improve it.
• Collaborative mindset to work with Data, IT, and business profiles.