Senior Data Platform Engineer

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 SLAsHave designed and operated internal developer platforms Enjoy solving complex problems that enable other engineers and analysts to move faster and saferHave experience with cloud data infrastructure, pipeline orchestration, and infrastructure automation (e.g. Terraform)Like thinking in terms of systems, abstractions, and automationCare deeply about data quality and cost efficiency, and know that undetected bad data is worse than no dataBelieve that quality and security are not just requirements, but essential attributes of a sustainable engineering cultureWant to grow beyond data into broader cloud platform engineering, and to bring your team along with youRole ResponsibilitiesDrive FAIRTIQ data platform development - ingestion, storage, transformation and access - as a self-service product for the whole companySupport the migration from our legacy data infrastructure to the new platform, and decommission the old oneProvide batch and streaming platform capabilities Setup building blocks for data quality, freshness and lineage, with monitoring and alerting that people act onManage data infrastructure as code, deployed through our existing CI/CD and GitOps pipelinesBuild data governance into the platform: retention, access control, pseudonymisation and audit trails that meet GDPR and our operator contractsOptimise system performance, cost efficiency and resiliencyGrow data platform capability across the Platform squad through documentation, pairing and Dojo sessionsContribute to Squad-owned topics beyond data, and take part in incident response and postmortemsCollaborate 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 fieldAt least 5 years of professional experience as a Data Platform Engineer or Data EngineerStrong Python skills, and the ability to write clean, maintainable, well-tested codeProficiency with cloud platforms (preferably AWS) and with data services on themHands-on experience with pipeline orchestration and with a data transformation frameworkExperience with streaming, ideally Kafka - able to reason about ordering, delivery guarantees and schema evolutionExperience with Terraform or similar infrastructure-as-code toolsAwareness of data protection obligations (GDPR) and how they translate into platform designProactive, organized, and communicative - you enjoy collaborating across disciplines and sharing what you knowExcellent English communication skillsEU basedNice to haveKubernetes and container orchestration experienceExperience with Open table formats (e.g. Iceberg) or LakeHouse architecture in productionExperience supporting ML or AI workloads: feature pipelines, training data, model monitoringBackground in a regulated, financial or mobility domain where correctness had to be auditableExperience 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 environmentChance to be part of a fast growing, international startupBudget and support for self-improvementCreativity 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 ProcessScreening interview with Pedro (from the People Team): ~45 minutesTech Screening & Problem Solving interview: 90 minutesPlatform Engineering interview: 60 minutesData Engineering interview: 60 minutesFind out more about our benefits, teams, company culture and tech stack on our FAQ page here!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 dataprotection@fairtiq.com if you wish for your data to be removed.