Senior Data Platform Engineer

FAIRTIQ AG; Schweiz; Remote; CHF 140,000 - 190,000; Full time

Benefits offered by this job

Dynamic and international work环境

Fully remote work

Budget for self-improvement

Leadership opportunities

Tech Joker Days

Flexible working hours

Job summary

FAIRTIQ AG is seeking a Data Platform Engineer to advance our data platform, enabling scalable ingestion, storage and access for millions of journeys. You will join the Platform team to drive automation, governance and self-service capabilities across squads.

Ideal candidates have 5+ years in data platforms, strong Python, cloud experience (AWS preferred) and IaC expertise. The role offers a dynamic, international environment with remote-friendly arrangements and career growth opportunities.

Qualifications

• Bachelor/Master in CS or related field.
• At least 5 years of professional experience as a Data Platform Engineer or Data Engineer.
• Strong Python skills and clean, well-tested code.
• Proficiency with cloud platforms (AWS preferred) and data services on them.
• Experience with pipeline orchestration and data transformation frameworks.
• Experience with streaming and Kafka; understanding of ordering, delivery guarantees and schema evolution.
• Experience with Terraform or similar IaC tools.
• Awareness of GDPR and data protection in platform design.
• Proactive, organized and communicative; able to collaborate across disciplines.
• EU based or eligible to work in EU.

Responsibilities

• Drive data platform development - ingestion, storage, transformation and access - as a self-service product for the company.
• Support migration from legacy data infrastructure to the new platform and decommission old systems.
• Provide batch and streaming platform capabilities.
• Set up data quality, freshness, lineage, monitoring and alerting.
• Manage data infrastructure as code via CI/CD and GitOps pipelines.
• Build data governance: retention, access control, pseudonymisation and audit trails per GDPR and contracts.
• Optimise performance, cost efficiency and resiliency.
• Grow data platform capability across Platform squad via docs, pairing and Dojo sessions.
• Collaborate with backend, mobile and analytics teams to fit product needs.

Skills

Python

AWS

Data platform

Terraform

Kafka

CI/CD

Data governance

Education

BSc or MSc in Computer Science or related field

Tools

Terraform

Kafka

Kubernetes

Iceberg/Open table formats

Job description

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

Role Responsibilities

• Drive FAIRTIQ data platform development - ingestion, storage, transformation and access - as a self-service product for the whole company
• Support the migration from our legacy data infrastructure to the new platform, and decommission the old one
• Provide batch and streaming platform capabilities
• Setup building blocks for data quality, freshness and lineage, with monitoring and alerting that people act on
• Manage data infrastructure as code, deployed through our existing CI/CD and GitOps pipelines
• Build data governance into the platform: retention, access control, pseudonymisation and audit trails that meet GDPR and our operator contracts
• Optimise system performance, cost efficiency and resiliency
• Grow data platform capability across the Platform squad through documentation, pairing and Dojo sessions
• Contribute to Squad-owned topics beyond data, and take part in incident response and postmortems
• Collaborate with backend, mobile and analytics colleagues so platform solutions fit real product and engineering needs

What we look for in you:

• BSc or MSc in Computer Science, Software Engineering or a related field
• At least 5 years of professional experience as a Data Platform Engineer or Data Engineer
• Strong Python skills, and the ability to write clean, maintainable, well-tested code
• Proficiency with cloud platforms (preferably AWS) and with data services on them
• Hands-on experience with pipeline orchestration and with a data transformation framework
• Experience with streaming, ideally Kafka - able to reason about ordering, delivery guarantees and schema evolution
• Experience with Terraform or similar infrastructure-as-code tools
• Awareness of data protection obligations (GDPR) and how they translate into platform design
• Proactive, organized, and communicative - you enjoy collaborating across disciplines and sharing what you know
• EU based

Nice to have

• Kubernetes and container orchestration experience
• Experience with Open table formats (e.g. Iceberg) or LakeHouse architecture in production
• Experience supporting ML or AI workloads: feature pipelines, training data, model monitoring
• Background in a regulated, financial or mobility domain where correctness had to be auditable
• Experience being the person who made a data platform self-service for others

At FAIRTIQ, we believe that our employees are our biggest asset. A healthy culture, based on respect, inclusion, diversity and individual empowerment is the key to our success story.

• Dynamic and international work environment
• Chance to be part of a fast growing, international startup
• Budget and support for self-improvement
• Creativity and innovation boosters with our "Tech Joker Days" (work on whatever you think may help FAIRTIQ)
• Lots of leadership opportunities (tech, people)
• Flexible working hours & fully remote work

Recruitment Process

• Screening interview with Pedro (from the People Team): ~45 minutes
• Tech Screening & Problem Solving interview: 90 minutes

At FAIRTIQ , we don’t just accept difference, we celebrate it, we support it, and we thrive from it for the benefit of our employees, our products and our community. FAIRTIQ is a proud equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability or gender identity.

Data Protection - Your personal data will be held by Fairtiq for a maximum of 12 months. Under the GDPR, you have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. Please contact [e-mail] if you wish for your data to be removed.