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Salary
≈ $82k – $194k per year (Estimated)
Location
Remote (likely Switzerland)
Seniority
Senior

Confirmed on the employer's own hiring board on Nov 1, 2026. First seen by Alion on Oct 6, 2026.

Overview
Company
Impact
Profile match
FAIRTIQ is a Swiss mobility technology company whose smartphone app gives passengers the right public transport ticket with one swipe. It works with public transport operators and hires iOS, data platform and fullstack engineers and business developers for public transport in Central and Eastern Europe. The company is headquartered in Bern, Switzerland.

As FAIRTIQ continues to grow, so does the volume and importance of the data we generate. Supporting more than one million monthly active users and millions of public transport journeys generates the data that determines what passengers pay, what transport operators receive and how the public transport network can be improved. Reliable, high-quality data is the foundation for better insights and faster decision-making.

We are looking for a Data Platform Engineer to support that foundation. You will join our Platform team, which is responsible for the infrastructure, automation and developer experience that underpin all engineering at FAIRTIQ. You will drive the development of our data platform: the tooling that enables squads to operate their pipelines and storage, amongst others. This is a driving role, not a maintenance role: there is an existing platform, a legacy platform to retire, and much still to design and build.

You will flourish in this role if you:

  • Have built and operated production data platforms, and think of data as a product with consumers, contracts and SLAs
  • Have designed and operated internal developer platforms
  • Enjoy solving complex problems that enable other engineers and analysts to move faster and safer
  • Have experience with cloud data infrastructure, pipeline orchestration, and infrastructure automation (e.g. Terraform)
  • Like thinking in terms of systems, abstractions, and automation
  • Care deeply about data quality and cost efficiency, and know that undetected bad data is worse than no data
  • Believe that quality and security are not just requirements, but essential attributes of a sustainable engineering culture
  • Want to grow beyond data into broader cloud platform engineering, and to bring your team along with you
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