AI Solutions Developer

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; experience designing and maintaining scalable data pipelines for batch and real-time processing.

Solid knowledge of SQL, Python, Git and Docker; practical experience with Azure cloud environment: Azure Data Factory, Azure Function App and Azure Containers.

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.

Hands-on experience working with relational and NoSQL databases (e.g., SQL Server, PostgreSQL, MongoDB, Cassandra); knowledge of data lake and data warehouse architecture (e.g., Delta Lake, Snowflake, BigQuery, Redshift, Synapse).

Experience implementing the best security 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.

Familiarity with data modeling, data warehousing, and BI/visualization tools (e.g., Power BI, Tableau); 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