Data Engineer - WhereTo, Spain

<p></p> <p> </p> <p><strong><span>Namaste, Hallo, سلام, Bonjour!</span></strong></p> <p> </p> <p><span>WhereTo began as a San Francisco-based business travel startup and has since evolved into an agile development and design studio within the Flight Centre Travel Group family. Our mission is simple: to make business travel better for everyone.</span></p> <p><span>We provide an AI-powered platform that transforms corporate travel. Using machine learning, it tailors personalized travel recommendations based on traveler preferences, company policies, and budget. Our technology also offers real-time travel tracking, reporting, and cost analysis, helping companies optimize their travel programs and reduce expenses.</span></p> <p><span>To learn more about WhereTo, click <a href="https://www.whereto.com/">HERE</a></span></p> <p> </p> <p> </p> <p><span><strong>About your opportunity</strong></span></p> <p><span>Are you a seasoned Data Engineer with a passion for travel and a track record of leveraging data-driven insights to enhance customer experiences and drive business growth? Join our fast-paced environment at WhereTo as a Level III Data Engineer and play a pivotal role in shaping the future of travel through data analysis and innovation. </span></p> <p> </p> <p> </p> <p><span><strong>A day in the life</strong></span></p> <ul> <li><span>Collaborate with cross-functional teams to identify and define key business problems that can be addressed using data-driven solutions.</span></li> <li><span>Design and implement advanced analytical models and algorithms to extract meaningful insights from large, complex datasets related to customer behavior, travel trends, and operational efficiency. </span></li> <li><span>Develop predictive and prescriptive models to optimize pricing strategies, customer segmentation, recommendation systems, and other critical aspects of the travel experience. </span></li> <li><span>Analyze historical data and real-time data streams to uncover patterns, trends, and anomalies that inform decision-making and contribute to a deeper understanding of our customers. </span></li> <li><span>Work closely with software engineers and developers to integrate data pipelines, ensuring seamless data collection, storage, and processing using technologies such as Node.js. </span></li> <li><span>Lead the end-to-end process of data analysis, from data collection and preprocessing to model development, validation, and deployment.</span></li> <li><span>Communicate findings and insights effectively to both technical and nontechnical stakeholders through data visualizations, reports, and presentations.</span></li> <li><span>Stay up to date with the latest advancements in data science, machine learning, and travel technology to propose innovative solutions that maintain our competitive edge.</span></li> </ul> <p> </p> <p> </p> <p><span><strong>Experience &amp; Qualifications</strong></span></p> <ul> <li><span>Bachelor's degree or higher in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics) or related experience. </span></li> <li><span>Minimum of 4 years of experience as a Data Engineer, Data Scientist, or in a similar role, with a proven track record of delivering impactful data-driven solutions.</span></li> <li><span>Strong communication skills required.</span></li> <li><span>Strong proficiency in programming languages such as Python (required) and Node.js (preferred) for data manipulation, analysis, and model development.</span></li> <li><span>Experience with machine learning techniques, statistical analysis, data mining, and data visualization.</span></li> <li><span>Proficiency in working with neural networks and deep learning frameworks (e.g., PyTorch, TensorFlow) to develop and deploy advanced machine learning models.</span></li> <li><span>Familiarity with travel industry data (e.g., booking data, customer profiles, location data) is a plus.</span></li> <li><span>Expertise in working with databases such as PostgreSQL and Druid, data warehouses, and data processing frameworks.</span></li> <li><span>Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced environment.</span></li> <li><span>Strong communication skills to convey complex technical concepts to various audiences.</span></li> <li><span>Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Hadoop, Spark) is a plus. </span></li> <li><span>Publications, patents, or contributions to the data science community are a strong advantage. </span></li> <li><span>Understanding of Large Language Models (LLM) architecture and prompting techniques is a bonus.</span></li> </ul> <p> </p> <p> </p> <p><span><strong><span>Here’s what you can look forward to at WhereTo:</span></strong></span></p> <ul> <li><span>If you're based in Barcelona, you'll have access to our fantastic central office located in the heart of the city at Plaça Catalunya.</span></li> <li><sp