Help Us Build The Future of Travel
At Airalo, we're making it easier for people to stay connected wherever they travel. As the world's first eSIM store, we help millions of travelers access affordable mobile data in 200+ countries and regions around the world.
Today, we're a team of 400+ people across 60+ countries, building a product used by travelers every day. We've grown quickly, but we've worked hard to keep what matters: trust, ownership, and the freedom for people to do great work without unnecessary layers or bureaucracy.
We're fully remote by design, genuinely global, and united by a shared mission to make travel simpler for everyone.
Your Next Destination
- Location: Remote, anywhere in Spain or the UK.
- Contract:
- Spain: Full-time, permanent contrato indefinido via Deel (our employer of record in Spain)
- UK: Full-time, permanent
- Benefits: Learn more about our benefits here in this link - https://airalo-public.notion.site/Benefits-25396a97ffca81fb9bc1f0be479f1be3?pvs=74
- Languages: English is our main working language day to day, so you'll need to be comfortable communicating in it both in meetings and async.
We're looking for an Analytics Engineering Manager to lead our self-service analytics infrastructure and data modeling practice at Airalo. You'll own the foundations that make analytics possible at scale: the semantic layer, core data models, dashboards, and the self-service platform (Lightdash) that enables teams across the business to answer their own questions. This is a building role-you'll establish how we model data, how we govern metrics, and how we roll out self-service capabilities across a 20M+ user business operating in 190+ countries.
You'll report to the Director of Data and partner closely with analytics teams and stakeholders across the business, translating their analytical needs into scalable, production-quality data models. Success looks like business users confidently answering their own questions, a governed semantic layer that analytics teams trust, and a self-service platform that replaces our patchwork of legacy reporting tools and robust data models that scale without use cases.
What you'll Do
Lead and grow a team of analytics engineers (currently 2, scaling to 4 this year), building a culture of craft, documentation, and user empathy
Drive the rollout and adoption of Lightdash as our single source of truth for business reporting, based on a unified KPI framework currently in progress
Own all dashboard development initially - from executive reporting to operational views, with support from analysts - then fully transition the ownership to analysts as self-service matures, building the templates and processes that enable this shift
Partner with stakeholders to translate reporting needs into well-designed, maintainable data products
Design and deliver training and enablement programs for business users across all functions
Own and evolve our core dbt models and semantic layer to support key analytical use cases: customer LTV, acquisition effectiveness, retention, funnel performance, and financial reporting
Establish governance and standards: metric definitions, dashboard design patterns, modeling practices, testing frameworks, and documentation
Partner with analysts to translate their needs into scalable data assets, and with Data Engineering on pipeline reliability and data quality
Partner with Data Engineering on pipeline reliability, data quality, and infrastructure decisions
Balance rigour with delivery speed-we're still building foundations while the business moves fast
Must have
5+ years in analytics engineering, data engineering, or technical analytics roles, with 2+ years of people management experience-ideally building or scaling a team
You're a hands-on leader who partners with senior leadership on strategy and priorities while owning execution and day-to-day team decisions.
Deep proficiency in dbt-you've built and scaled dbt projects, not just contributed to them
Strong SQL and experience with at least one programming language (Python preferred)
Experience implementing or heavily using a semantic layer / metrics layer (Lightdash, Looker, MetricFlow, or similar)
Track record of driving self-service analytics adoption-training programs, documentation, stakeholder enablement
Familiarity with dimensional modeling, data warehouse design patterns, and data quality frameworks
Experience working closely with analysts and translating their needs into scalable data models
Strong business acumen-you're driven to build scalable data products that deliver real impact, and you prioritise ruthlessly to get there
Comfortable with ambiguity and greenfield data environments, with a passion for building team culture and raising the bar on data quality and usability
Nice to have
Experience in marketplace, B2C, or subscription/usage-based businesses
Previous work in low-maturity or greenfield data environments
Familiarity with our stack: dbt, BigQuery, Lightdash, Fivetran
Experience with marketing analytics use cases: attribution, LTV, cohort analysis
Previous experience at a scale-up that went through hypergrowth
Why People Join Us
🇪🇸 Why people join us in Spain
We started Airalo to make staying connected effortless, wherever you are in the world. Today, millions of travelers rely on our eSIMs, and many of the people building the product were customers first.
Our team is united by a shared belief that great work happens when people are trusted to own what they do. As Airalo continues to grow, so do the opportunities to learn, take on new challenges, and make a real impact.
For many of our teammates in Spain, it's the combination of stability, flexibility, and genuine work-life balance that makes Airalo feel like home.
🇬🇧 Why people join us in the UK
We started Airalo to make staying connected effortless, wherever you are in the world. Today, millions of travelers rely on our eSIMs, and many of the people building the product first discovered us as customers.
Our team spans 60+ countries, but what people often notice quickly is how work actually feels here. There's trust to own what you do, space to focus without constant layers of process, and a clear sense of what you're responsible for from day one.
As Airalo continues to grow, people tend to stay for a mix of things: the chance to work on a product used globally, the autonomy to shape how they work, and the opportunity to keep taking on new challenges without getting stuck in one lane.
Before You Hit Apply
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.
