Data Engineer in Mendrisio

plastminute.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. /p pOur 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". /p pWe 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. /p pAt 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. /p plastminute.com N.V. is a publicly-traded company listed under the ticker symbol LMN on the SIX Swiss Exchange. /p h3Job Description /h3 h3What you will own /h3 pThe 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. /p pThe 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. /p pAnalysis, 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. /p pTrust 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. /p pLeverage beyond yourself. What you learn about your business area becomes reusable for the whole department — documented models, shared glossaries and AI context, automations /p h3Qualifications /h3 h3What we look for /h3 h3Essential /h3 ul liSolid, 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. /li liReal depth in dimensional modelling: grain, keys, slowly changing dimensions, and the judgement to know when a model is semantically wrong even though it runs. /li liAdvanced 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. /li liHands‑on dbt experience for transformation and modelling, and comfort with orchestration (Airflow, Cloud Composer or equivalent). /li liWorking knowledge of a business area and the ability to connect data work to business outcomes rather than to task completion. /li liA 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. /li liFluent English, written and spoken. /li /ul h3Strong plus /h3 ul liAI‑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. /li liPython for automation and lightweight services. /li liData contracts, testing frameworks, or data observability tooling. /li liExperience as the reference data person embedded in a business team. /li liSemantic or metric layers consumed by BI tools and by AI agents. /li liTravel, OTA, marketplace or another high‑volume transactional business. /li /ul h3How We Work With AI /h3 pClaude 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. /p pIn 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. /p pWe are not looking for prompt‑writing as a job. We are looking for someone whose modelling and business judgement is worth multiplying. /p h3Additional Information /h3 h3Life of working in lastminute.com /h3 h3Perks of working with us: /h3 ul liAn inclusive, friendly, and international environment (you’ll be working with colleagues from +10 countries and over 48 nationalities) /li liShorter working week (36h as full time), with a half working day on Fridays /li liFlexible start and end of the working day /li liPossibility to work from anywhere for a period of time per year defined according to local regulations /li /ul h3How we learn together: /h3 ul liFri‑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. /li liProfessional 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 /li /ul h3Other perks: /h3 ul li2 paid days off per year for volunteering purposes /li liOccasional social events to foster connections among colleagues /li liTravel industry discounts and flash exclusive staff fares /li liWe support our employees through life's significant moments with leave options (e parental responsibilities, marriages, bereavements, relocations, etc.) in line with local laws. /li /ul h3Selection process steps*: /h3 ul liHR interview (10-30 minutes) /li li1st interview (Manager): soft skills + technical knowledge /li liTest step online (technical evaluation, AI usage included) /li li2nd interview (Manager + team member): Test review /li liOnly for senior roles: final meeting (30 mins) with the Director /li liOffer extended /li /ul h3Our commitment to celebrate diversity and generate belonging /h3 pAt 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. /p h3Eligibility criteria: /h3 pBy 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. /p #J-18808-Ljbffr