Analytics Engineering Manager

Airalo

Analytics Engineering Manager at Airalo leading self-service analytics infrastructure and data modeling practice. Responsible for building the foundations of analytics for a 20M+ user business.

Posted 6/8/2026full-timeRemote • 🇪🇸 SpainMid-LevelSeniorWebsite

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Hard Skills

analytics engineeringdata engineeringtechnical analyticsdbtSQLPythonsemantic layerdimensional modelingdata warehouse designdata quality frameworks

Soft Skills

leadershipuser empathycommunicationstakeholder managementtraining and enablementbusiness acumenadaptabilityteam culture buildingprioritizationexecution

Tools & Technologies

LightdashLookerMetricFlowdata productsdashboard developmentKPI frameworkdata modelstesting frameworksdocumentationdata pipeline

Industry Keywords

self-service analyticsgovernancemetric definitionsdashboard design patternsanalytical use casescustomer LTVacquisition effectivenessretentionfunnel performancefinancial reporting

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

Health Insurance
work-from-anywhere stipend
annual wellness & learning credits
annual all-expenses-paid company retreat in a gorgeous destination & other benefits