Job Summary: We are looking for a Big Data and Machine Learning specialist to design, develop, and maintain data architectures, distributed processing systems, and data modeling. Key Highlights: 1. Part of a leading company in the Canary Islands. 2. A dynamic environment with professional development and continuous learning. 3. Contribute to connecting the territory with positive impact. **Description:** ---------------- **Fred. Olsen — where your talent drives the future. Would you like to join us?** At Fred. Olsen Group, we work every day to connect people, territories, and experiences across the Canary Islands. Through Fred. Olsen, we provide a benchmark maritime transportation service renowned for its punctuality, quality, and closeness to our passengers. We seek individuals distinguished by their proactive attitude, commitment to continuous improvement, and ability to contribute innovative ideas — always prioritizing service excellence. **Your Mission** * Architecture Design: Define and structure Data Warehouse systems and data repositories to support BI solutions. * ML Infrastructure: Design and maintain the infrastructure required for deploying Machine Learning models, ensuring data availability. * Distributed Processing: Implement and optimize large-scale data transformation processes using Spark. * Data Modeling: Define data schemas and data flows (ETL/ELT) integrating on-premise and cloud data sources. * Container Management: Orchestrate and deploy data ecosystem services using Docker. **Requirements:** --------------- * Bachelor’s degree in Computer Engineering, Telecommunications, or related field. * Big Data Frameworks: Proficiency in Apache Spark (PySpark) for distributed processing. * Infrastructure: Experience using Docker (Kubernetes is a plus) for application and service containerization. * Databases: Expertise in SQL Server (T-SQL, optimization, and dimensional modeling). * Programming: Advanced Python skills (automation and data manipulation). * BI Ecosystem: Familiarity with Power BI’s data engine. **Preferred Qualifications** * Master’s degree specialized in Big Data or Data Science. * Experience with real-time data ingestion: Kafka and MQTT. * Proficiency with time-series databases (InfluxDB). * Operational visualization in Grafana. * Ability to design scalable solutions from scratch. * Technical rigor and attention to detail in data architecture. * Technological curiosity to implement cutting-edge tools. **What We Offer** * Join a leading company in the Canary Islands. * A dynamic environment — no two days are ever the same. * Work with people and for people. * Professional development and continuous learning. * Pride in contributing to connecting the territory at “Your Best Company.” **Do You See Yourself Here?** If you enjoy working in active environments, engaging directly with people, and being part of the operational team that makes every crossing possible, we want to meet you! **Committed to Our Team and Customers** At Fred. Olsen, we believe how we work is as important as what we do. Therefore, we seek individuals who identify with our values and wish to become part of a committed, continuously evolving team. * We value working closely, respectfully, and humanely. We champion relationships built on trust — both with our customers and within our team. Here, your contribution matters and your voice is heard. * We care about every detail to deliver excellent service. We strive to do things right from the start — responsibly and professionally — always aiming to exceed expectations. * We operate with a forward-looking vision, mindful of our operating environment. We promote responsible practices and seek to generate positive social and environmental impact. * We adapt, evolve, and constantly explore new ways to improve. We encourage ideas, initiative, and continuous learning as part of our daily routine. If you share this approach to work and are motivated to be part of a purpose-driven project, we’d love to meet you. **Committed to Equality** At Fred. Olsen, we believe in a workplace grounded in respect, diversity, and equal opportunity. We foster an inclusive environment where all individuals can develop professionally, regardless of gender, age, origin, orientation, or any other personal condition. Our selection and development policies are based on objective criteria, ensuring fair and transparent processes. We advocate for equity and actively work to build a diverse team where talent makes the difference.