Staff Analytics Engineer

Nord Security; Poland; Hybrid; PLN 305,000 - 392,000; Full time

Benefits offered by this job

Training & Mentorship

Extra vacation days

Private health insurance (Lithuania &/

Job summary

Saily is seeking a data-focused engineer to own the data modeling, semantic layer, and analytics infrastructure. You will turn raw data into reliable models used by the analytics team and AI, working across Product, Engineering, and Marketing.

You’ll lead data expansion as a founding member of the Data team, shaping standards, governance, and scalable data solutions across the company.

Qualifications

• 6+ years of experience in Analytics Engineering, Data Engineering, or similar data-focused role.
• Strong hands-on experience with data modeling and schema design, including dimensional modeling and semantic layers.
• Excellent SQL skills and experience turning raw data into scalable analytical models.
• Experience owning or shaping analytics architecture while staying hands-on.
• Strong product and business thinking — understand data meaning and usage.

Responsibilities

• Become a founding member of Saily's Data team and lead the vertical.
• Own data modeling and schema design across Saily.
• Turn raw data into clean, scalable data models.
• Build a clear semantic layer with consistent entities, relationships, metrics, and definitions.
• Make data easy to understand for people and AI.
• Own and evolve analytics infrastructure and tooling.
• Set standards around data quality, documentation, naming, and governance.
• Collaborate with Product, Engineering, Marketing to reflect data needs.

Skills

Analytics Engineering

Data Modeling

SQL

dbt

BigQuery

Clickhouse

Looker

Airflow

Leadership

Tools

BigQuery

Clickhouse

Looker

Airflow

Job description

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

• Become a founding member of Saily's Data team and take the lead in building the entire vertical yourself.

• Own data modeling and schema design across Saily.

• Take raw, unmodelled data and turn it into clean, scalable data models.

• Build a clear semantic layer with consistent entities, relationships, metrics, and definitions.

• Make our data easy to understand and use - both for people and AI.

• Own and evolve our analytics infrastructure and tooling.

• Set standards around data quality, documentation, naming, and governance.

• Work closely with Product, Engineering, Marketing and other teams to understand their data needs and make sure our models reflect how Saily actually works.

• Help shape how Data Analytics operates as Saily grows.

Skills you’ll bring to the table

• 6+ years of experience in Analytics Engineering, Data Engineering, or a similar data-focused engineering role.

• Strong hands-on experience with data modeling and schema design, including dimensional modeling, semantic layers, metrics, entities, and relationships.

• Excellent SQL skills and experience turning raw data into clean, scalable analytical models.

• Experience owning or shaping analytics architecture and making technical decisions while staying hands-on.

• Strong product and business thinking — you understand what the data means and how it can be used, not just how it's stored.

• An entrepreneurial mindset — you look at the product holistically and think beyond the technical side of the problem.

• Confidence working across teams, managing stakeholders, and translating product and business needs into data solutions.

• Experience leading or technically guiding Data Analysts / Analytics Engineers is a plus.

Tools/technologies you’ll use

• Coding Agents

• SQL

• dbt

• BigQuery

• Clickhouse

• Looker

• Internal tooling for analytics

• Airflow

What We Offer

• Sharpen your edge: training, mentorship, and room to grow - always.

• Take the time you need: extra vacation days, sick days, and time off when life calls.

• Get premium healthcare: private health insurance in Lithuania and Poland - fully covered.

• Protect your peace: enjoy free subscriptions to Calm, Headspace, and Mindletic, and our own resilience and mindfulness trainings.

• Own your fitness: in-house gyms, sport cards, online workouts, and personal guidance - on us.

• Pack your bags for workation: experience our company-wide trip abroad to the fullest.

• Work from anywhere: work from wherever keeps you in the zone.

• Celebrate your milestones: birthdays, weddings, and new family members - all deserve a gift.

• Parent with ease: children's summer camps and flexibility around the schedule - because parenting never pauses.

• Join the party: team building and company events people talk about for months.

• Unlock Cyber City: coffee bar, open gyms, kids' room, music room, massage chairs - our Vilnius HQ is yours to enjoy.

Kindly refer to our Privacy Notice for Recruitment Candidates for comprehensive information regarding our data handling procedures throughout recruitment processes.

We expect all candidates to provide accurate and complete information during the recruitment process. While limited use of AI tools to refine application materials is acceptable, candidates remain fully responsible for ensuring that their submissions reflect their own qualifications, skills, and experience. Any failure to do so may negatively affect participation in the recruitment process. If broader AI assistance is allowed for a particular role or stage, we'll let you know in advance.

They may use an AI-based application review tool to help assess applications based on skills and experience relevant to the role. This technology is used to support - not replace - human decision-making, and every application is ultimately reviewed by a recruiter.

If you would like more information about how AI is used in this process or wish to exercise your rights under applicable data privacy laws, please contact us at [e-mail]. Should you prefer to opt out of the automated evaluation, please submit your application directly to [e-mail].