Data Scientist
Department
Data Science
Location - Workplace type
Madrid
Employment type
Permanent
Who do you want to become?
Are you our Future Leader? Are you ready to realize your potential? Are you searching for a real purpose, not “just another job”?
At the Sani/Ikos Group we take hospitality very seriously. As we expand with new Resort openings almost annually, our core purpose remains the same; encouraging guests to experience the Μagic of togetherness as the World’s Leading Family & Beach ResortTM.
Whether you’re looking for a strong career path in the hospitality industry, to learn new skills that will set you apart from the competition or to develop meaningful relationships and grow personally and professionally, our safe, strong, and sustainable environment might just be the perfect place for you.
Your main purpose
Design, preparation, and transformation of large-scale datasets to support advanced analytics and machine-learning workloads over Azure
Build, optimize, and maintain data pipelines and infrastructure on Azure that enable the development and deployment of machine-learning models for business applications.
Drive the implementation and operationalization of GenAI solutions by ensuring robust data ingestion, feature pipelines, and scalable deployment architectures.
Perform complex data analysis, data quality assessments, and data profiling to uncover patterns and ensure reliable, actionable insights.
Enable applications such as chatbots (text and voice), Marketing Mix Modeling, and sales forecasting by delivering clean, well-structured, and production-ready data flows.
Leverage NLU and GenAI data pipelines to enhance guest experiences through automation, intelligent services, and real-time data integration.
What will you bring?
3–5 years of professional experience in Data Engineering with strong expertise in Azure cloud platform and enterprise data integration; solid knowledge of SQL, Python, Git and Docker; practical experience with Azure Data Factory, Azure Function App and Azure Containers.
Experience designing and maintaining scalable data pipelines for batch and real-time processing; hands-on experience working with relational and NoSQL databases (e.g., SQL Server, PostgreSQL, MongoDB, Cassandra).
Knowledge of data lake and data warehouse architectures (e.g., Delta Lake, Snowflake, BigQuery, Redshift, Synapse); familiarity with data modeling, data warehousing, and BI/visualization tools (e.g., Power BI, Tableau).
Experience implementing security best practices, including IAM, encryption, and role-based access control on Azure; understanding of API-based integrations, streaming or event-based paradigms, or microservices-based data ingestion.
Ability to troubleshoot complex data issues and collaborate with cross-functional teams (data scientists, analysts, architects); proven ability to document data flows, data dictionaries, and engineering processes clearly and consistently.
Professional proficiency in English (minimum B2 level) and strong communication skills.
What we offer
Team
Becoming a member of an organization that cares about its people, the environment, and the local communities.
Grow
Have room to grow and develop via numerous opportunities for learning, professional development, and career advancement.
Care
Competitive remuneration package
Private health insurance
Flexible working model