Data Platform Engineer

hace 3 semanas

Palma, España TUI A tiempo completo

Joining the TUI Musement Data Science & Analytics Team, you will be providing support to the rest of Data profiles in TUI Musement, building the tooling used on analytical and operational Data and ML/AI Products, helping them at the task of delivering value to the business, and managing the platform used by all Data and ML/AI products on the Data area.

TUI Musement, or TUI MM for short, is the world’s leading provider of destination experiences. With 9,000 diverse employees in 49 countries and head office locations including Palma de Mallorca, Luton, and Hannover, we offer 14 million guests a portfolio of excursions, activities, tours, transfers, and guest services. TUI MM is part of TUI Group, the world's leading tourism group.

Become part of our team - applications open This role will be advertised for a minimum of 14 days but could close anytime after this time, so don't delay

ABOUT OUR OFFER

  • Personal benefits: Attractive remuneration, bonus opportunity, exclusive travel perks & discounts, extensive health & wellbeing support, and more.
  • Flexible working: Work is something you do, not somewhere you go. We encourage a healthy work-life balance and offer hybrid or remote working models.
  • A career to shape: Opportunities to upskill, reskill and grow your career. Access the TUI Tech Learning Hub to level-up and reach your ambitions.
  • Expand your horizons: Participate in our tech communities and collaborate on global projects and teams.
  • Community: Get involved with incredible local charity and sustainability initiatives like the TUI Care Foundation and the Sustainable Tech Community.

ABOUT THE JOB

Imagine being at the forefront of how data transforms the travel industry. You’ll be a vital part of a team that thrives on turning complex data challenges into scalable, impactful solutions. Every day, you’ll collaborate with our Data Scientists, Analytic Engineers, Data Analysts, or other engineering teams to design and build the tools and platforms that power our data and machine learning products. Whether you’re creating pipelines for large-scale data processing or automating processes to optimize performance, your work will directly influence the decisions that shape how millions of travelers explore the world.

In our team, each day brings new and exciting challenges. You could be refining machine learning models one moment, then building scalable infrastructures that process vast amounts of data from source systems. Whether you’re optimizing API integrations or improving our data pipelines, your work will directly enhance the way we serve millions of travelers worldwide. You’ll have the opportunity to experiment with cutting-edge technologies while ensuring our data solutions are robust, efficient, and continuously driving business value.

  • Defining cutting-edge Data Engineering frameworks that enable the Analytics Engineering team to deploy their own solutions.
  • Defining cutting-edge ML/AI frameworks that enable the ML/AI team to deploy their own solutions.
  • Building and optimizing Data Engineering & ML/AI tools to empower your fellow data professionals, helping them unlock the full potential of our platform.
  • Defining the Data Sharing frameworks for analytical and operational purposes to serve our platform as a Data Catalog for consumers.
  • Monitoring and enhancing Data Engineering & ML/AI solutions, fine-tuning them for performance, accuracy, and scalability.
  • Leading efforts to automate and optimize internal processes—whether it’s reducing manual work, improving data delivery, or redesigning infrastructure for greater efficiency.
  • Collaborating with your team in an agile environment, following operational and control procedures to deliver top-tier results.
  • Contributing to the design and modeling of a scalable Enterprise Data Platform within the cloud (AWS), ensuring that our data architecture remains future-proof.

ABOUT YOU

  • You’re passionate about data, machine learning, and finding solutions to complex challenges, but you also thrive in a collaborative environment.
  • You see data not just as numbers but as the foundation for meaningful change, and you’re excited about the opportunity to help revolutionize the travel experience.
  • Proficient in Python, with a commitment to writing clean, maintainable, and testable code.
  • Experience with API frameworks like FastAPI or Flask.
  • Demonstrated expertise in building Data and ML pipelines, covering the entire lifecycle in both cases.
  • Hands-on experience with CI/CD frameworks, especially GitLab.
  • Comfortable building containerized solutions with Docker to provide custom source connectors for data extraction.
  • Experienced in using orchestration tools like Airflow to build robust, scalable, and dynamic pipelines.
  • Experienced with Airbyte, possessing a strong understanding of its operation and functionality.
  • Proficient in working with Snowflake (our main Data Platform) and Mongo Atlas, among others.
  • Skilled in using Datadog to build and maintain monitors, alerts, and dashboards.
  • A strong understanding of data transformation, metadata management, and workflow orchestration.
  • Familiarity with Machine Learning frameworks and libraries is highly valued.
  • Experience with AWS cloud services, including:
    • Amazon EventBridge
    • Amazon Kinesis Data Firehose
    • Kinesis
    • S3
    • Lambda
    • SQS
    • SNS
    • CloudWatch
  • Fluent in English, able to communicate both technical details and big-picture concepts with ease—whether speaking to senior stakeholders or peers in the technical team.

The following are nice-to-haves:

  • Experience with Terraform as IaC.
  • Proficiency with Azure DevOps services.
  • Experience with k8s.

From a workplace to a place to belong. At TUI, we embrace diversity, equity, and inclusion, encouraging everyone to come as you are, because together, our potential is limitless.

We are committed to supporting candidates with disabilities and impairments, so if you require any support, please do let us know.

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