TL;DR

Analytics Engineer (dbt/BigQuery): Building and maintaining a scalable analytics engineering layer that powers reporting, experimentation, and decision-making with an accent on clean models, well-defined metrics, and reliable tracking foundations. Focus on improving data quality, implementing best practices for workflows, and building data products.

Location: The role offers various work arrangements across our European hubs. For Vilnius, a hybrid model of 4 days onsite and 1 flexible day remote is required. In Kaunas, onsite, hybrid, or remote options are available depending on the role. Office locations include Vilnius, Kaunas, Klaipėda (Lithuania), and Riga (Latvia). Additionally, there is a perk of working 2 months from anywhere in the world.

Salary: €5,000–€5,800 gross per month.

Company

%hirify_global% is a product company that builds and supports over 30 brands worldwide, including Bioma, which offers probiotic supplements designed to support gut health.

What you will do

Build and maintain a scalable analytics engineering layer in dbt, including clean models, marts, shared dimensions, and metric-ready tables.
Improve tracking and instrumentation across domains, identifying new opportunities where data can add value.
Implement and monitor data quality to ensure accuracy, completeness, and consistency.
Build data products such as marketing performance datasets, customer lifecycle models, and experimentation-ready tables.
Continuously improve workflows with best practices like naming conventions, data modeling standards, data quality testing, and CI/CD.
Communicate clearly with cross-functional teams and non-technical stakeholders.
Support team members in designing, developing, and implementing data warehousing, reporting, and analytics solutions.

Requirements

3+ years of experience in analytics engineering, BI engineering, or data engineering, with a strong focus on data modeling.
Strong SQL skills and proficiency in Python for analytics workflows and automation.
Hands-on experience with dbt, BigQuery, Looker, and CI/CD practices.
Strong problem-solving and critical thinking skills, including the ability to challenge unclear requests and design robust metrics.
Experience setting up or scaling data quality practices.
Ability to work with stakeholders, write clear documentation, and align teams on definitions.
A curious, growth-oriented mindset, comfortable learning new tools and approaches.
Fluent in English, with the ability to explain technical and business issues clearly.

Nice to have

Experience with marketing and website tracking concepts (events, attribution, funnels).

Culture & Benefits

Comprehensive wellness program including health insurance (after probation), on-site physiotherapist, office gym, and fitness classes.
7 extra days off, 3 for weddings, and the freedom to work 2 months from anywhere in the world.
Pet-friendly office with fresh breakfasts, hot lunches, and stocked snacks and food.
Rooftop and cellar events, plus 10 social clubs for personal interests.
€1000 yearly budget for personal or team growth through coaching, mentorship, training, conferences, and online courses.
Opportunities to drive global impact across 30+ brands, launch bold projects, and even step in as a co-founder.
€1500 for every successful referral.