Data Engineer

Company Description

Launched in 1998, this pioneering British-born brand has specialised in creating amazing experiences and unforgettable memories - from hotels, city breaks and holidays to theatre, entertainment and spa days. Experts in brightening up online travel, is among the worldwide leaders in the field, helping hundreds of thousands of customers every year find, and do, "whatever makes them pink". is part of lm group, publicly traded multinational Group, among the worldwide leaders in the online travel industry. Every month, the Group reaches across all its websites and mobile apps (in 17 languages and 40 countries) 60 million unique users that search for and book their travel and leisure experiences. More than 1,200 people enjoy working with us and contribute to provide our audience with a comprehensive and inspiring offering of travel related products and services

At the heart of our culture is a commitment of inclusion across race, gender, age sexual orientation, religion, gender identity or expression and accessibility. We strongly believe in an equal opportunity space, which is welcoming and celebrates the uniqueness of everyone who works here. We value different lived experiences and respect viewpoints, as we know unicity drives innovation. We want to make sure our people reflect the communities across the world we help travel.

Job Description is looking for a Data Engineer for its Data & Analytics department team based in Chiasso.

The candidate will act within Data & Analytics department perimeters supporting, inspiring and delivering data integrations, data models, analysis, reports and dashboards to help the  business look data in a comprehensive way, take proper decisions and steer directions of the units.

Key Responsibilities

  • Design, development and continuous improvements of end-to-end data pipelines
  • Continuous improvement in delivery, applying engineering best practices to development, monitoring, and data quality of the data pipelines.
  • Data model creation, design of ETL activities and unit tests
  • Writing documents for mapping of data flows according to business rules



  • 2-5 years of experience in similar role in a fast-paced environment
  • Advanced SQL language knowledge and programming languages (e.g. Java, Python)
  • Demonstrable ability to work creatively and analytically with a strong attitude for problem solving
  • Basic experience in Cloud environments (e.g.: GCP, AWS)
  • Fluent in English both written and spoken


  • Bachelor or master degree in Statistics, Mathematics, Engineering or Physics
  • Understand stakeholders business areas and take ownership of their data need, collect/support business requirement definition - be able to influence and partner with them leveraging on an in-depth cross-functional data knowledge
  • Performing analysis with the aim of providing insights and summaries to direct manager, the rest of the team and other functions
  • Knowledge of statistical analysis techniques 
  • Good knowledge of Google Work Suite


    Additional Information


    • Analytical and data driven mindset: improve the business providing insights coming from data
    • Passionate about digital world, ambitious and motivated  with a can-do attitude
    • Open minded and proactiveness in problem solving
    • Good communication skills with a willingness to challenge existing processes and applications
    • Strong team player and excellent communicator
    • Good interpersonal, communication and presentation skills

    What we offer

    • Possibility to work in an international agile environment using eXtreme Programming practises
    • Dedicated time for personal growth
    • Bleeding edge technology stack (Java and Kotlin, Python, Spark, Spring Boot, Docker, Kubernetes and more ...)
    • Continuous learning program with technical internal sessions
    • Access to online learning platform like O’Reilly 
    • Possibility to join conferences around Europe for continuous improvement
    • Coding Dojo: a weekly training to learn and share coding techniques during office hours
    • LM-Talks: our very own knowledge sharing internal sessions

    By joining our company, you will have the chance to:

    • Join a dynamic team in an inclusive-international environment
    • Grow thanks to the career journey and our internal mobility perspective
    • Manage your own schedule thanks to the flexible start and end of the working day
    • Work a shorter working week (36h), of which 4 hours on Friday morning
    • Get focus time for learning, development and deep work on Friday mornings
    • Work partially or fully remote according to local laws
    • Enjoy continuous training thanks to our company platform
    • Benefit from employee discounts on travel
    • Receive 2 days off per year for the purpose of volunteering
    • Receive a bonus after 5 and one after 10 years in the company
    • Get free snacks / fruit / hot drinks / water / beverages at our offices
    • Participate in amazing winter and summer corporate events
    • Benefit from extended parental or marriage leave