Data Engineer

Description

Job Summary: We are seeking a proactive professional with a continuous improvement mindset to design and maintain data, machine learning (ML), and distributed processing architectures. Key Highlights: 1. Join a leading company in the Canary Islands 2. Professional development and continuous learning 3. Work in a dynamic environment focused on people **Description:** ---------------- **Fred. Olsen — where your talent drives the future. Would you like to join us?** At the Fred. Olsen Group, we work every day to connect people, territories, and experiences across the Canary Islands. Through Fred. Olsen, we provide a maritime transportation service renowned for its punctuality, quality, and closeness to our passengers. We seek individuals distinguished by their proactive attitude, orientation toward continuous improvement, and ability to contribute innovative ideas — always prioritizing service excellence. **Your Mission** * Data Architecture Design: Define and structure Data Warehouse systems and data repositories to support BI solutions. * ML Infrastructure: Design and maintain the infrastructure required to deploy 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** * Specialized Master’s degree in Big Data or Data Science. * Knowledge of real-time data ingestion tools: Kafka and MQTT. * Experience 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 * Dynamic environment: no two days are ever the same here * Work with people and for people * Professional development and continuous learning * Pride in contributing to connecting the region 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 backbone that makes every voyage possible, we want to meet you! **Committed to Our Team and Our Customers** At Fred. Olsen, we believe how we work is just as important as what we do. Therefore, we seek individuals who identify with our values and wish to join a committed, continuously evolving team. * We value working closely, respectfully, and humanely. We foster 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 the environment in which we operate. We promote responsible practices and aim to generate a positive impact on society and the environment. * We adapt, evolve, and constantly seek 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 join a purpose-driven project, we would love to meet you. **Committed to Equality** At Fred. Olsen, we believe in a workplace grounded in respect, diversity, and equal opportunity. We promote 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 champion equity and actively work to build a diverse team where talent makes the difference.