Data Engineer

• 10 October 2026
• 100%
• Indefinite duration
• Chiasso

Join lastminute.com, a European leader in Travel Tech! Enjoy an inclusive culture and attractive benefits.

Tasks ##

• Develop and maintain the data model of your domain.
• Collaborate with stakeholders to define KPIs.
• Ensure data reliability with validation rules.

Skills ##

• Experience in data engineering and dimensional modeling required.
• Proficiency in SQL and query optimization.
• Practical knowledge of dbt for data transformation.

Data Engineer

• Full time
• Department: Data

Company Description

lastminute.com is the European leader in Travel Tech 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, personalize and enhance our customers' travel experience. Experts in driving online travel, we help our customers find and do "what makes them happy".

We continually invest in talent that ensures our offering is closer to customer needs and keeps us at the forefront of technological evolution. More than 1,700 employees across our offices worldwide develop our own products and services to power the entire traveler journey for millions of people.

At the heart of our culture is a commitment to inclusion, regardless of race, gender, age, sexual orientation, religion, identity or gender expression and accessibility. We firmly believe in an equal opportunity, welcoming and celebrating the uniqueness of each of our employees. We value different lived experiences and respect different viewpoints, as we know that uniqueness drives innovation. We want to ensure that our employees reflect the global communities we help to travel.

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

Job Description

The role in brief:

Job title - Data Engineer

Work model - hybrid from Switzerland

Level - Professional

Location - Chiasso, Switzerland (hybrid positions only)

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

What you will take charge of

The data model of your business domain. Entities, granularity, dimensional models, metrics and definitions. You decide on the source of truth and the boundaries of the business domain. Definitions are treated as a product here: one owner, one documented definition, one single place where it is calculated, the same value everywhere it is used.

The relationship with stakeholders. You co-manage all the KPIs that the company tracks: what we look at every week, how it is defined, and when it should change. You are expected to rephrase the question when the question is the problem. On smaller or ongoing tasks, you agree on priorities directly with your stakeholders. On the broader roadmap, you set priorities with your manager, including what we can postpone or deprioritize.

Analysis, adapted to the business domain. The split between analysis and development depends on the domain you manage, and can evolve over time.

Trust in the numbers. You build validation and monitoring rules on your own models, so that data issues are detected before the data reaches a dashboard or a stakeholder. When a problem occurs, you manage it end-to-end: finding the cause, explaining the business impact, fixing it and adding a test to prevent it from happening again.

Leverage beyond yourself. What you learn about your domain becomes reusable for the entire department - documented models, shared glossaries and AI context, automations.

Qualifications

What we are looking for

Essential

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

Real expertise in dimensional modeling: granularity, keys, slowly changing dimensions, and the judgment to know when a model is semantically incorrect even if it works.

Advanced SQL and query optimization on a cloud or MPP warehouse. We use BigQuery and Vertica - you must be proficient in one of them, not necessarily both.

Practical experience with dbt for transformation and modeling, and comfort with orchestration (Airflow, Cloud Composer or equivalent).

Operational knowledge of a business domain and the ability to link data work to business results rather than task execution.

Proven experience working directly with non-technical stakeholders: transforming a business question into a data requirement, presenting results, and challenging the brief when the data says otherwise.

Fluent English, written and spoken.

Major assets

AI-assisted working methods (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 fast here and we will want you to shape how the rest of the department proceeds.

Python for automation and lightweight services.

Data contracts, testing frameworks or data observability tools.

Experience as a data reference person embedded within a business team.

Semantic layers or metrics consumed by tools