Airalo is the world's first and largest eSIM store, helping travellers stay connected seamlessly in over 200 countries and regions. What's in it for you? Airalo offers team members a range of perks, including remote work, generous PTO, wellness and learning allowances, and, of course, our annual Airalo Away retreat.

Hi, I'm Andra, Director of Data at Airalo! Our team works across the full data ecosystem, from collection to insights activation, ensuring that every piece of data drives meaningful action. Airalo's fully remote Data team is growing.

This isn't just dashboards - it's using data to drive strategy, inform product and growth decisions, and create real impact. We're looking for a Principal Customer Data Platform Engineer to own the customer data domain end-to-end — the flows, the tracking and event architecture, the contracts, the identity logic, the consent logic, the activation paths, and the integrations that hold it all together.

This is a senior individual contributor role: you collaborate closely with the data domain, product, engineering and business stakeholders to understand the core use cases we need to support, and you translate that understanding into the architecture that delivers them. You design, you build where it matters, you operate, and you keep the standards you set — bringing rigour to architectural decisions by framing options, weighing trade-offs, and producing the documents that make the choices legible to leadership. If you're ready to own a critical domain end-to-end in a high-growth, integral business - we'd love to hear from you.

Customer data architecture — from collection across web and app, through ingestion and modelling, into the activation surfaces where the business acts on it. Set the architectural patterns for client and server-side capture, and the boundary between real-time and batch.

Identity resolution: how users, devices, accounts, and sessions are stitched together across web and app, how that resolution is exposed to downstream consumers, and how it runs in production. Event schema architecture,



versioning, and enforcement mechanisms — contracts, validation, schema registry, CI checks — that turn agreed event definitions into reliable, governed data. Establishing quality, lineage, and observability across customer-data flows so issues are detected upstream — not by analysts noticing broken numbers.

Being the technical interface between Data and the functions that depend on customer data: you own how the platform captures, validates, routes, and governs it. Bridge the same way with MarTech, Engineering, and adjacent systems (CRM, finance, affiliate, partner integrations). Architecture and operation of warehouse-to-tool data flows: reverse ETL, audience activation, and the contracts that govern data leaving the warehouse.

Own the integrity of the data layer that MarTech runs on — consent signals, identity, audience definitions, conversion events. Data interface between experimentation platforms and the warehouse so assignments, exposures, variant metadata, and feature flag state land cleanly and reproducibly. Define what "experiment-ready data" looks like end-to-end.

Leading the customer-data architecture decisions ahead of us. Maintain the technical documentation — architecture diagrams, ADRs, schema registry, integration patterns — that makes the domain knowable to others.

Managing vendors in your domain: hold them to the standards you set internally, drive delivery, escalate quality issues, and evaluate fit as use cases evolve. Partnering closely with the broader data domain to understand the use cases the customer-data domain needs to support — and designing the architecture that delivers them.



Several years of experience owning customer-data or data-platform architecture in a product-led organisation operating at meaningful scale — including responsibility for the architectural decisions, not just the implementation.

Hands-on experience with first-party data architecture: capture, routing, identity resolution, and the architectural trade-offs across collection paradigms and across the real-time / batch boundary.

Deep technical fluency across the modern data stack: cloud warehouse (BigQuery, Snowflake or equivalent), dbt, reverse ETL (Hightouch or equivalent), event collection (client and server-side), and at least one major activation platform. Strong working knowledge of the customer data platform ecosystem — packaged, composable, and warehouse-native patterns — and clear views on where each fits. Deep familiarity with consent architecture in practice: how consent signals propagate across server-side capture, Consent Mode, conversion APIs, and reverse ETL, and how to make compliance enforceable at the platform layer rather than per-implementation.

Working knowledge of experimentation platforms and what good experimentation data looks like end-to-end.

Experience working alongside Engineering teams as a technical peer — setting specs they implement, reviewing their work, and being trusted to do so. Architecture decisions in this role land as documents, ADRs, and specs that other people act on.

Experience leading a server-side data collection evolution end-to-end.

Experience with data contracts, schema registries, or equivalent governance tooling in production. Familiarity with mobile analytics platforms and MMPs (Adjust, AppsFlyer or similar), and with ad-platform server-side integrations (Conversion API, Enhanced Conversions, SKAN). All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy, available here: For more information on how we handle your data, please see our Privacy Policy: .

📌 Principal Customer Data Platform Engineer (Málaga)
🏢 Airalo
📍 Málaga