Analytics Engineer

Get ready to

• Employ GCP tools (dbt, Airflow and Looker) to enhance data quality, efficiency, and delivery of accurate and timely data
• Identify, investigate and solve data issues: data quality, data discrepancies, missing data
• Contribute to the development and improvement of data solutions
• Leverage the power of dbt for overcoming complex modelling problems with a focus on performance, robustness and scalability
• Work on prevention and alerting solutions
• Adopt and refine our best practices e.g. naming convention, data modeling, and data quality testing
• Communicate with cross-functional teams and non-technical stakeholders in a clear and structured manner
• Assist and support other team members in the design, development, and implementation of data warehousing, reporting, and analytics solutions
• Take ownership of tasks and initiatives

• Have proven SQL skills: ability to join and manipulate data of various types (String, Integer, JSON, Array), write parameterized scripts, debug SQL code
• Know ETL and warehousing concepts
• Have strong communication skills: timely, clear, and consistent sharing of information, work progress, bottlenecks and findings
• Have curious and growth-oriented mindset towards constant learning
• Be capable to understand, tackle, and communicate problems from both technical and business perspectives
• Be fluent in English

• Health insurance (after probation)
• On-site physiotherapist
• Office gym
• Fitness classes
• 7 extra days off
• 3 days off for weddings
• Hybrid work
• Freedom to work 2 months from anywhere in the world
• Pet-friendly office
• Fresh breakfasts
• Hot lunches
• Drawers and fridges stocked with snacks and food
• Rooftop and cellar events
• 10 social clubs
• Public transport card for Vilnius
• Perks.lt perks
• €1100 yearly budget for coaching, mentorship, training, conferences, online courses, subscriptions, books
• €1500 for every successful referral