The Company At lastminute.com, 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. 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)
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 the Sales & Partnerships domain team, 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 a 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 (e.g. Airflow, Google Cloud Composer, Talend)
Experience with data quality and validation
Fluent in English both written and spoken
Programming languages knowledge (e.g. Python, R, Scala, Java)
Experience in analysing data to discover opportunities, address gaps and anomaly/outlier detection
Experience with Analytics tools (e.g. 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 dedicated to personal growth, learning and training and/or focus time.
– Access to e-learning platforms (e.g. 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 (e.g. 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)
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
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