Analytics Engineering Manager

6 мес. назад

110k–140k GBP / yearSpainEuropeSeniorRemoteB2

data engineeringanalyticssqlpythondata pipelinesremote collaboration

Lead the analytics engineering team to support data infrastructure and enable effective data-driven decision making.

Help Us Build The Future of Travel At , 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 employe

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

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

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