Principal Data Platform Engineer Data Data Engineering & Platform United Kingdom United Kingdom Spain Full-Time Ready to make travel easier for millions? Airalo is the world’s first and largest eSIM store, helping travellers stay connected seamlessly in over 200 countries and regions. We trust our teams to take ownership, put customers first, and do work that has a real impact every day. 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. Learn more about our benefits here; www.notion.so/airalo-public/Benefits-25396a97ffca81fb9bc1f0be479f1be3 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. We’re curious problem-solvers who love tackling challenges that haven’t been solved before and building tools and processes that scale impact across the company. Airalo’s fully remote Data team is growing. You’ll turn numbers into decisions that shape the future of our business, collaborating with cross-functional teams to solve complex problems and influence how millions of travellers stay connected. This isn’t just dashboards - it’s using data to drive strategy, inform product and growth decisions, and create real impact. You’ll have access to best-in-class tools, the freedom to experiment, and a team ready to turn insights into action. We're looking for a Principal 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 set technical direction across functions, hold the line on architectural decisions that span them, and lead the choices about how tracking, collection, identity, governance, and activation evolve as Airalo scales. 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, global business - we’d love to hear from you. We're looking for a Principal 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 set technical direction across functions, hold the line on architectural decisions that span them, and lead the choices about how tracking, collection, identity, governance, and activation evolve as Airalo scales. 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, global business - we’d love to hear from you. Please note that to be considered for this role, you must reside in and be fully eligible to work in either Romania, Spain, or the UK. Proof of a valid right to work in one of these three countries will be required. By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. 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: www.airalo.com/more-info/privacy-policy?srsltid=AfmBOooBT0rXAj1FaNelZ3VfN0wvhwzvAoxdtHnOKSVETpiSjiXVuycy We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal-opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process. Responsibilities include, but are not limited to:

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. Partner with Product Analytics on the taxonomy and naming conventions; you own how the platform makes them real.

Consent architecture end-to-end: how consent is captured, propagated, stored, honoured at activation, and audited across regions and across the full chain from event collection to MarTech, so compliance is enforced architecturally rather than per-implementation.

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: Product Analytics owns what is tracked and why; 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. Frame options, run evaluations, produce decision records, and bring stakeholders to alignment. Bring rigour, not vendor advocacy.

Holding the architectural view of how the warehouse, collection layer, identity resolution, activation tools, and MarTech surfaces fit together as one coherent system. 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.

Must-haves:

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.

Hands-on experience with identity resolution in production — deterministic, probabilistic, or both — not only at the conceptual level.

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.

A track record of leading architecture decisions across functions — framing options, running evaluations, producing decision records, and bringing stakeholders to alignment.

Experience working alongside Engineering teams as a technical peer — setting specs they implement, reviewing their work, and being trusted to do so.

Strong written communication. Architecture decisions in this role land as documents, ADRs, and specs that other people act on.

A proactive, self-starter mindset. You thrive in ambiguity, work autonomously, and are energised by building in fast-paced, high-growth environments.

Nice to haves:

Direct experience evaluating, implementing, or migrating between CDP platforms — packaged or composable — with a view on where each pattern actually delivers.

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).

Knowledge of the eSIM, telco, MNO/MVNO, or travel-tech landscape.

Background in B2C or marketplace businesses with non-trivial international, regional, or compliance complexity.

Privacy-first measurement and activation experience in the post-cookie, post-ATT world.

Jobs

No opportunities available

Browse Jobs by Role

Browse Jobs by City