Senior Data Platform Engineer
FAIRTIQ AG5 hours ago
Remote, EMEASenior
Responsibilities
- Drive development of the company-wide self-service data platform covering ingestion, storage, transformation, and access.
- Migrate from legacy data infrastructure to the new platform and decommission the old system.
- Provide batch and streaming platform capabilities.
- Build data quality, freshness, lineage, monitoring, and alerting capabilities.
- Manage data infrastructure as code through existing CI/CD and GitOps pipelines.
- Implement data governance covering retention, access control, pseudonymisation, and audit trails.
- Optimize system performance, cost efficiency, and resiliency.
- Expand platform capability through documentation, pairing, and Dojo sessions.
- Contribute to broader platform topics, incident response, and postmortems.
- Collaborate with backend, mobile, and analytics teams to align platform solutions with product and engineering needs.
Requirements
- 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 ability to write clean, maintainable, well-tested code.
- Proficiency with cloud platforms, preferably AWS, and their data services.
- Hands-on experience with pipeline orchestration and a data transformation framework.
- Experience with streaming and ideally Kafka, including ordering, delivery guarantees, and schema evolution.
- Experience with Terraform or similar infrastructure-as-code tools.
- Awareness of GDPR and translating data protection obligations into platform design.
- Proactive, organized, communicative, collaborative, and able to share knowledge across disciplines.
- Excellent English communication skills.
- EU-based work eligibility or location.
- Preferred: Kubernetes and container orchestration experience.
- Preferred: Production experience with open table formats such as Iceberg or LakeHouse architecture.
- Preferred: Experience supporting ML or AI workloads, including feature pipelines, training data, or model monitoring.
- Preferred: Experience in regulated, financial, or mobility domains where correctness was auditable.
- Preferred: Experience making a data platform self-service for other users.
Benefits
- Dynamic and international work environment.
- Opportunity to join a fast-growing international startup.
- Budget and support for self-improvement.
- Tech Joker Days for creative and experimental work.
- Leadership opportunities in technical and people areas.
- Flexible working hours and fully remote work.
- Recruitment process includes screening, tech/problem-solving, platform engineering, and data engineering interviews.
Tech Stack
Categories
Data EngineeringDevOps
About FAIRTIQ AG
FAIRTIQ builds a mobile ticketing platform for public transport that lets riders check in and out via smartphone and automatically pay the lowest fare. It partners with transit agencies and operators to deliver the service through a consumer app and back-end fare calculation, without requiring onboard or station hardware. Founded in 2016 and headquartered in Bern, Switzerland, FAIRTIQ is used across Switzerland and in multiple European markets.