Airalo

Travel-tech

PrincipalCustomerDataPlatformEngineer

Newcastle, United Kingdom; Stockton, United Kingdom; Leeds, United Kingdom FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Principal candidates.

The Brief

“Principal Customer Data Platform Engineer at Airalo. Skills: Customer data platform, Data architecture, Identity resolution, Consent architecture. Own customer data architecture. Set architectural patterns”

What You'll Achieve.

Turn numbers into decisions; Shape the future of our business; Influence how millions of travellers stay connected; Drive strategy; Inform product decisions; Inform growth decisions; Create real impact; Turn insights into action; Make travel easier for millions

Industry & Context.

Travel tech
Problems you'll solve

Curious problem-solvers; Tackling challenges

Eligibility Requirements

Background checks upon consent

What They're Looking For.

Must Have

Several years of experience owning customer-data or data-platform architecture in a product-led organisation operating at meaningful scale, 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, 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, written communication, A proactive, self-starter mindset

Nice to Have

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

What You'll Do.

Own customer data architecture

Set architectural patterns

Manage identity resolution

Define event schema architecture

Implement consent architecture

Establish data quality

Ensure data observability

Own warehouse-to-tool data flows

Own data layer integrity

Define experiment-ready data

Lead architecture decisions

Maintain technical documentation

Partner with data domain

How You'll Work.

Team & Collaboration

Collaborating with cross-functional teams; Partner with Product Analytics; Technical interface between Data and functions; Bridge with MarTech, Engineering, and adjacent systems; Partnering with the broader data domain; Experience working alongside Engineering teams

Communication Scope

Written communication

Process & Methodology

Framing options, Running evaluations, Producing decision records, Bringing stakeholders to alignment

Full Job Description

## Description 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. ## 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 mech

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