Data Engineer

Data Engineer

• Full-time
• Department: Data

Company Description

lastminute.com is the European Travel Tech leader in Dynamic Holiday Packages. It operates a portfolio of well-known brands such as lastminute.com, Volagratis, Rumbo, weg.de, Bravofly, Jetcost and Hotelscan.

Our mission is to lead the travel industry by leveraging technology to simplify, personalise, and enhance our customers’ travel experience. Experts in brightening up online travel, we help our customers find and do "whatever makes them pink".

We continuously invest in talented people who ensure our offering is closer to the needs of the customers and keep us at the cutting edge of technology evolution. More than 1,700 employees spread across our offices worldwide develop our own products and services to power the entire traveller journey for millions of people.

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.

lastminute.com N.V. is a publicly-traded company listed under the ticker symbol LMN on the SIX Swiss Exchange.

Job Description

The job in brief:

Job Title - Data Engineer

Working model - hybrid from Switzerland

Level - Professional

Location - Chiasso, Switzerland (only for hybrid positions)

Contract - Permanent - full-time (EUR 36 h/week)

What you will own

The data model of your business area. Entities, granularity, dimensional models, metrics and definitions. You decide what the source of truth is and where the boundaries of the business area sit. Definitions are treated as a product here: one owner, one documented definition, one place where it is computed, the same value wherever it is consumed.

The relationship with stakeholders. You co-own the KPI set the business steers by: what we look at every week, how it is defined, and when it needs to change. You are expected to reframe the question when the question is the problem. On smaller or ongoing work, you agree priorities directly with your stakeholders. On the wider roadmap, you set priorities together with your manager, including what we can postpone or deprioritise.

Analysis, sized to the business area. The split between analysis and development depends on the business area you look after, and it can change over time.

Trust in the numbers. You build validation rules and monitoring on your own models, so that data issues are caught before the data reaches a dashboard or a stakeholder. When something goes wrong, you handle it end to end: find the cause, explain the business impact, fix it and add a test so it does not happen again.

Leverage beyond yourself. What you learn about your business area becomes reusable for the whole department — documented models, shared glossaries and AI context, automations

Qualifications

What we look for

Essential

Solid, hands-on experience in data engineering, analytics engineering or a similar data role. We look at what you have built, not at the number of years.

Real depth in dimensional modelling: grain, keys, slowly changing dimensions, and the judgement to know when a model is semantically wrong even though it runs.

Advanced SQL and query optimisation on a cloud or MPP warehouse. We run both BigQuery and Vertica — you need to be strong on one of them, not both.

Hands-on dbt experience for transformation and modelling, and comfort with orchestration (Airflow, Cloud Composer or equivalent).

Working knowledge of a business area and the ability to connect data work to business outcomes rather than to task completion.

A track record of working directly with non-technical stakeholders: turning a business question into a data requirement, presenting findings, and disagreeing with the brief when the data says otherwise.

Fluent English, written and spoken.

Strong plus

AI-assisted ways of working (see below) — daily use of an agentic assistant for development and analysis, and the ability to write the context that makes it reliable. If you already work this way, you will be quick here and we will want you shaping how the rest of the department does it.

Python for automation and lightweight services.

Data contracts, testing frameworks, or data observability tooling.

Experience as the reference data person embedded in a business team.

Semantic or metric layers consumed by BI tools and by AI agents.

Travel, OTA, marketplace or another high-volume transactional business.

How we work with AI

Claude is part of the standard toolkit of this department, connected to our own systems, and it changes what we consider skilled work. Writing correct SQL is no longer the scarce part. Deciding what correct means, and building the context that lets both people and agents get it right, is.

In practice that means: agentic development as the default for SQL, dbt, Python and documentation, with normal engineering discipline around it; context written and maintained by you — instruction files, reusable skills, business glossaries, model documentation — because the quality of the output depends on it; agent-assisted data quality work with a human review gate wherever it feeds a business decision; and clear-eyed judgement about where these tools are unreliable in this specific business area.

We are not looking for prompt-writing as a job. We are looking for someone whose modelling and business judgement is worth multiplying.

Additional Information

Life of working in lastminute.com

Perks of working with us:

• 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 deep work, personal growth, learning and training and/or focus time.
• Professional and managerial skills development training paths, access to e-learning platforms such as O’reilly, Udemy, Coursera (depending on the department), and to our internal platform offering bespoke training content

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.

Selection process steps*:

HR interview (10-30 minutes)

1st interview (Manager): soft skills + technical knowledge

Test step online (technical evaluation, AI usage included)

2nd interview (Manager + team member): Test review

Only for senior roles: final meeting (30 mins) with the Director

Offer extended

(*Please note the process can slightly vary. The recruiter in charge will share more details when setting up the interview)

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.

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