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.
Curious what it's actually like to work at Airalo? We've put together a guide for each of the hubs we hire from most, covering our benefits, remote culture, employment setup, and what our team values most:
- Life at Airalo · España: https://airalo-public.notion.site/life-at-airalo-espana
- Life at Airalo · United Kingdom: https://airalo-public.notion.site/life-at-airalo-united-kingdom
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
