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
Excellent English communication skills
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…