Analytics Engineer (Data Engineering)

TL;DR

Analytics Engineer (Data Analytics): Develop and optimize product data modelling and reporting solutions using GCP tools with an accent on data quality, performance, and scalability. Focus on solving complex data issues, building alerting systems, and collaborating with cross-functional teams to support business growth.

Location: Vilnius or Kaunas, Lithuania with hybrid work options including onsite and remote days

Salary: 3000–4000 EUR/month gross

Company

hirify.globalverse builds systems, teams, and infrastructure to help ventures scale in health, wellness, beauty, and travel industries.

What you will do

• Use GCP tools (dbt, Airflow, Looker) to improve data quality and delivery
• Identify and resolve data quality issues and discrepancies
• Develop and enhance data modelling and reporting solutions focusing on performance and scalability
• Implement prevention and alerting mechanisms for data issues
• Adopt and refine best practices in data modelling and quality testing
• Communicate clearly with technical and non-technical stakeholders

Requirements

• Fluent English
• Proven SQL skills including complex data manipulation and debugging
• Knowledge of ETL and data warehousing concepts
• Strong communication skills for timely and clear information sharing
• Curious and growth-oriented mindset for continuous learning
• Ability to understand and communicate technical and business problems

Culture & Benefits

• Health insurance after probation, on-site physiotherapist, office gym, and fitness classes
• Hybrid work with 2 months remote work from anywhere in the world
• 7 extra days off plus 3 days for weddings
• Pet-friendly offices, free breakfasts and lunches, social clubs, and events
• €1100 yearly budget for personal and team growth including training and conferences
• Referral bonus of €1500 for successful hires