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Data Engineer (Sales Domain)

Data Engineer (Sales Domain)

lastminute.comChiasso, TI, CH
Vor 18 Tagen
Anstellungsart
  • Vollzeit
Stellenbeschreibung

Company Description

At , we live for the holidays. We are the European Travel-Tech leader in Dynamic Holiday Packages. With technology, we turn spontaneous thoughts into meaningful experiences, helping people travel the world.

We are looking for a Data Engineer (Sales Domain) to join our team of around 1,700 people worldwide to help us power up the traveller's journey for millions of holidaymakers.

By joining our team as a Data Engineer, you’ll be the backbone of data-driven decision-making and If you’re passionate about building scalable systems and shaping the future of data, keep on reading, as you might be the perfect fit for this job.

Job Description

Job Title - Data Engineer

Working model - this is a hybrid working model position (25% remote only)

Team - you will join the Sales & Partnerships team within the Data Analytics department.

Level - Professional (working in teams or individually on projects, with emphasis on technical / discipline knowledge rather than managing people)

Location - Chiasso

Contract - Permanent (36 h / week)

What your impact will be :

The activities of the Sales & Partnerships domain team are focused on reports, tables, analysis and, more generally, all sorts of deliverables related to company's sales data in order to create an important value in supporting decision-making of the business

The candidate will have the opportunity to become a key member of the team leveraging their engineering skills to acquire, manipulate, orchestrate and monitor data.

Working in Sales & Partnerships domain team the candidate the candidate will have to work with multiple stakeholders from the business, partnership and product optimization areas

The candidate will be accountable for project results in terms of efficiency following department guidelines and value for the company.

Qualifications

Your expertise :

  • At least 2 years of experience in similar role in a fast-paced environment
  • SQL advanced knowledge
  • Experience in Data Modelling
  • Experience in ETL design, implementation and maintenance
  • Experience with workflow management engines ( Airflow, Google Cloud Composer, Talend)
  • Experience with data quality and validation
  • Fluent in English both written and spoken

Desirable :

  • Programming languages knowledge ( Python, R, Scala, Java)
  • Experience in analysing data to discover opportunities, address gaps and anomaly / outlier detection
  • Experience with Analytics tool ( QlikView, Tableau, Spotfire)
  • Familiarity with digital and e-commerce business

    • Additional Information

    Perks of working with us :

    How we work together :

  • An inclusive, friendly, and international environment (you’ll be working with colleagues from +10 countries and over 48 nationalities)
  • Shorter working week (36h as full time), with a half working day on Fridays
  • Flexible start and end of the working day
  • Possibility to work from anywhere for a period of time per year defined according to local regulations

    • How we learn together :

  • Fri-Yays : half a day on Friday morning with a no-meeting mandate and dedicated to personal growth, learning and training and / or focus time.
  • Access to e-learning platforms ( Discovery, O’reilly - depending on the department), professional and managerial skills development training paths

    • Other perks :

  • 2 paid days off per year for volunteering purposes
  • Occasional social events to foster connections among colleagues
  • Travel industry discounts and flash exclusive staff fares
  • We support our employees through life's significant moments with leave options ( parental responsibilities, marriages, bereavements, relocations, etc.) in line with local laws.

    • Wish you were here? We do, too!

    Selection process steps

  • HR interview (30 minutes)
  • 1st interview (Manager) : Moment for manager to get to know you better + SQL test
  • 2nd interview (Manager + team member) : Technical evaluation (Data Model & theoretical knowledge)
  • Decision making / Offer extended
  • Please note the process can slightly vary, if this happens, the recruiter in charge will share more details during the recruitment process)

    • Our commitment to celebrate diversity and generate belonging

    At the heart of our culture is a commitment to 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.

    Eligibility criteria :

    By submitting your information and application, you confirm that you are legally authorised to work in the country of employment and that you do not require visa sponsorship to obtain employment visa status.

    Please submit your resume in English

    Please submit your resume in English