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Data Engineer

Reads like an Analytics Engineer role: dbt models and clean tables.

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

Before you apply

Work authorization
Must already have the right to workBy 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

What you’ll work on

Full posting
  • Own the data model of your business area, including entities, grain and metrics

  • Co-own the KPI set the business steers by and its definitions

  • Build validation rules and monitoring on your own models

  • Handle data issues end to end: find cause, fix, and add a test

  • Document models, glossaries and AI context for the whole department

From the employer’s posting
The data model of your business area. Entities, granularity, dimensional models, metrics and definitions.
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 build validation rules and monitoring on your own models
find the cause, explain the business impact, fix it and add a test so it does not happen again.
documented models, shared glossaries and AI context, automations

What you’ll bring

All qualifications

Core experience

  • Python for automation and lightweight services.
  • Experience as the reference data person embedded in a business team.
Qualification wording
Python for automation and lightweight services.
Experience as the reference data person embedded in a business team.
Apply at Lastminute.com

Posting record

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Likely evergreenReposted 2 times since Oct 7, 2026. A role that keeps coming back is often kept open to collect applications rather than to fill one seat.

Status in our records
Live
First seen by us
Oct 10, 202626 days ago
Recorded sightings
26
Last seen by us
Nov 5, 2026
Reposted
2 times since Oct 7, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.

How this job compares

Time since we first saw it

Day 26

Similar jobs usually come down between day 6 and day 48.

From 1,471 similar postings that came down. Coming down is not always a hire.

Lastminute.com is hiring

1 open job

Open jobs by the week we first saw them, last 12 weeks.

  • 100% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • BigQuery
  • dbt
  • Airflow
Where the posting names them
- 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.
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.
- 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).
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.
- 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.

Your next step

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Has Lastminute.com posted this job before?

Yes. We’ve followed 2 other Data Engineer jobs there since October 2026. 2 came down, usually after about 0 days.

  1. ChiassoCame down after 0 days, first seen Oct 7
  2. ChiassoCame down after 0 days, first seen Oct 9
  3. This jobUp 27 days so far, first seen Oct 10

Demand for Analytics Engineer roles

New Analytics Engineer postings at the employers we follow are down 9% over the last 5 weeks compared with the 5 before.

Weekly new Analytics Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 96, the most 174, and the latest week had 96.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Analytics Engineer, by the work the posting describes.

Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.

Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.

A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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.

    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. 

    Source details

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    Location & working pattern

    Chiasso, TI, Switzerland

    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)
    Work authorization
    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. Company Description

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