Data Engineer

hace 3 semanas

Barcelona, Barcelona, España FCM Travel A tiempo completo
About the Opportunity

We are seeking a seasoned Data Engineer to join our team at FCM Travel, where you will play a pivotal role in shaping the future of travel through data analysis and innovation. As a Data Engineer, you will collaborate with cross-functional teams to identify and define key business problems that can be addressed using data-driven solutions.

Key Responsibilities
  • 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.
  • Develop predictive and prescriptive models to optimize pricing strategies, customer segmentation, recommendation systems, and other critical aspects of the travel experience.
  • 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.
  • Work closely with software engineers and developers to integrate data pipelines, ensuring seamless data collection, storage, and processing using technologies such as data analysis, from data collection and preprocessing to model development, validation, and deployment.
  • Communicate findings and insights effectively to both technical and nontechnical stakeholders through data visualizations, reports, and presentations.
  • 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.
Experience & Qualifications
  • Bachelor's degree or higher in a quantitative field (Computer Science, Statistics, Mathematics, Physics) or related experience.
  • Strong communication skills required.
  • Strong proficiency in programming languages such as Python (required) and (preferred) for data manipulation, analysis, and model development.
  • Experience with machine learning techniques, statistical analysis, data mining, and data visualization.
  • Proficiency in working with neural networks and deep learning frameworks (PyTorch, TensorFlow) to develop and deploy advanced machine learning models.
  • Familiarity with travel industry data (booking data, customer profiles, location data) is a plus.
  • Expertise in working with databases (PostgreSQL and Druid), data warehouses, and data processing frameworks.
  • Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced environment.
  • Strong communication skills to convey complex technical concepts to various audiences.
  • Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (Hadoop, Spark) is a plus.
  • Publications, patents, or contributions to the data science community are a strong advantage.
  • Understanding of Large Language Models (LLM) architecture and prompting techniques is a bonus.
Work Perks - What's in it for you:

FCM Travel is renowned internationally for having amazing perks and an even better culture. We understand that our people are our most valuable asset. It is the passion and dedication of our teams that keep the company on top of the industry ladder. It's also why we offer some great employee benefits and perks outside of the norm.

  • Have fun: At the heart of everything we do at FCM Travel is a desire to have fun.
  • Reward & Recognition: Celebrate the success of yourself and others at our regular Buzz Nights and at the annual Global Gathering - You'll have to experience it to believe it
  • Use your smarts: Our people use their quick thinking, expertise, and tenacity to always figure things out.
  • Love for travel: We were founded by people who wanted to travel and want others to do the same. That passion is something you can't miss in our people or service.
  • Personal connections: We are a big business founded on personal relationships.
  • A career, not a job: We offer genuine opportunities for people to grow and evolve
  • We back our people all the way: We are strongly committed to supporting every single employee in their professional and personal development.

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