Staff Analytics Engineer

Nord Security; Warszawa; On-site; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Training & mentorship

Extra vacation days

Private health insurance (PL)

Job summary

Nord Security is seeking an experienced Analytics Engineer to own data modeling, schema design, and the semantic layer for the product. You will transform raw data into clear, scalable models and collaborate with Product, Engineering, and Marketing to ensure data reflects how the product actually works.

The role requires deep SQL skills, dbt expertise, and a strong sense of data governance. You will play a pivotal role in shaping analytics architecture, leading data initiatives, and guiding

Qualifications

• 6+ years in Analytics Engineering, Data Engineering, or similar data-focused role
• Strong SQL skills and ability to turn raw data into analytical models
• Experience shaping analytics architecture and making technical decisions while staying hands-on
• Understanding data meaning and business impact, not just storage
• Ability to lead across teams and translate product needs into data solutions
• Experience guiding Data Analysts / Analytics Engineers is a plus

Responsibilities

• Become a founding member of the Data team and lead building the vertical
• Own data modeling and schema design across the product
• Turn raw data into clean, scalable data models
• Build a semantic layer with consistent entities, relationships, metrics and definitions
• Make data understandable for humans and AI
• Own and evolve analytics infrastructure and tooling
• Set standards for data quality, documentation, naming and governance
• Collaborate with Product, Engineering, Marketing to reflect data needs in models
• Shape how Data Analytics operates as the company grows

Skills

Analytics Engineering

Data Modeling

Dimensional Modeling

Semantic Layer

SQL

Data Architecture

Stakeholder Management

Entrepreneurial Mindset

Cross-Functional Collaboration

Product & Business Thinking

Tools

dbt

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.

By submitting your application, you acknowledge that it may be processed using automated tools for evaluation purposes. As part of our recruitment process, we 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].