Staff Analytics Engineer

At Saily, we’re removing the hassle of staying connected while traveling — no roaming fees, no plastic SIM cards, just lightning-fast, secure mobile data in 200+ destinations. Saily has millions of paying customers and hundreds of thousands of travelers browsing through Saily at any given moment.

About this role

• Saily is growing fast, and so is the amount of data behind the product. We’re looking for someone to take ownership of how that data is structured, modeled, and used.
• The main challenge is simple: we have raw data, and we need to turn it into clear, reliable models that humans (i.e. Data Analytics team) and AI can actually understand and use.
• What you’ll do
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• Become a founding member of Saily’s Data team and take the lead in building the entire vertical yourself.
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• Own data modeling and schema design across Saily.
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• Take raw, unmodelled data and turn it into clean, scalable data models.
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• Build a clear semantic layer with consistent entities, relationships, metrics, and definitions.
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• Make our data easy to understand and use - both for people and AI.
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• Own and evolve our analytics infrastructure and tooling.
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• Set standards around data quality, documentation, naming, and governance.
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• Work closely with Product, Engineering, Marketing and other teams to understand their data needs and make sure our models reflect how Saily actually works.
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• Help shape how Data Analytics operates as Saily grows.
• Skills you’ll bring to the table
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• 6+ years of experience in Analytics Engineering, Data Engineering, or a similar data-focused engineering role.
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• Strong hands-on experience with data modeling and schema design, including dimensional modeling, semantic layers, metrics, entities, and relationships.
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• Excellent SQL skills and experience turning raw data into clean, scalable analytical models.
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• Experience owning or shaping analytics architecture and making technical decisions while staying hands-on.
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• Strong product and business thinking — you understand what the data means and how it can be used, not just how it's stored.
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• An entrepreneurial mindset — you look at the product holistically and think beyond the technical side of the problem.
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• Confidence working across teams, managing stakeholders, and translating product and business needs into data solutions.
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• Experience leading or technically guiding Data Analysts / Analytics Engineers is a plus.
• Tools/technologies you’ll use
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Coding Agents

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SQL

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• dbt
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BigQuery

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Clickhouse

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Looker

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• Internal tooling for analytics
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Airflow

What We Offer

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• Sharpen your edge: training, mentorship, and room to grow — always.
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• Take the time you need: extra vacation days, sick days, and time off when life calls.
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• Get premium healthcare: private health insurance in Lithuania and Poland — fully covered.
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• Protect your peace: enjoy free subscriptions to Calm, Headspace, and Mindletic, and our own resilience and mindfulness trainings.
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• Own your fitness: in-house gyms, sport cards, online workouts, and personal guidance — on us.
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• Pack your bags for workation: experience our company-wide trip abroad to the fullest.
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• Work from anywhere: work from wherever keeps you in the zone.
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• Celebrate your milestones: birthdays, weddings, and new family members — all deserve a gift.
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• Parent with ease: children’s summer camps and flexibility around the schedule — because parenting never pauses.
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• Join the party: team building and company events people talk about for months.
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• Unlock Cyber City: coffee bar, open gyms, kids’ room, music room, massage chairs — our Vilnius HQ is yours to enjoy.