Data Engineer: Build Trusted Data Models & KPIs

lastminute.com; Chiasso; On-site; CHF 120,000 - 170,000; Full time

Benefits offered by this job

36h work week

Flexible start and end of day

Work from anywhere for a period each-

2 paid volunteering days per year

Travel industry discounts

Job summary

lastminute.com is seeking a skilled Data/Analytics Engineer to own the data model for a business area, defining granularity, metrics, and definitions to enable reliable analytics.

You will co‑own KPI sets with stakeholders, frame questions into data requirements, and ensure end‑to‑end data quality with validators and monitoring. This role emphasizes collaboration, reusability of models, and AI-enabled data practices across the department.

Qualifications

• Solid, hands-on experience in data engineering, analytics engineering or a similar data role.
• Deep knowledge of dimensional modelling and data governance.
• Advanced SQL and query optimisation on cloud warehous(es). BigQuery/Vertica experience preferred.
• Hands-on dbt for transformation and modelling, with orchestration (Airflow/Cloud Composer).
• Ability to connect data work to business outcomes and present findings to non-technical stakeholders.
• Fluent English, written and spoken.

Responsibilities

• Define the data model for your business area, including granularity, metrics and definitions.
• Own KPI definitions with stakeholders and align on priorities with management.
• Build and monitor data validation rules to catch issues before dashboards are affected.
• Collaborate across teams to reuse models, glossaries and AI context.

Skills

Data engineering

Analytics engineering

SQL optimization

dbt

Airflow

Python

Stakeholder management

Fluent English

Tools

BigQuery

Vertica

Airflow

Cloud Composer

Job description

lastminute.com is seeking a skilled Data/Analytics Engineer to own the data model for a business area, defining granularity, metrics, and definitions to enable reliable analytics.

You will co‑own KPI sets with stakeholders, frame questions into data requirements, and ensure end‑to‑end data quality with validators and monitoring. This role emphasizes collaboration, reusability of models, and AI-enabled data practices across the department.