Analytics Engineer (GCP)

TL;DR

Analytics Engineer (GCP): Developing and optimizing data infrastructure for wellness applications with an accent on data quality, reliability, and strategic roadmap execution. Focus on utilizing dbt, Airflow, and Looker to build scalable data warehousing solutions and prevent data discrepancies across a global brand portfolio.

Location: Based in Vilnius, Kaunas, Klaipėda, or Riga with various hybrid/onsite/remote options depending on the location.

Salary: 3,800 – 5,000 EUR/month.

Company

An expert-designed wellness solutions provider developing a portfolio of apps to make healthy living simple and sustainable.

What you will do

• Identify, investigate, and solve data quality issues and discrepancies.
• Optimize and develop data infrastructure according to a strategic roadmap.
• Employ GCP tools including dbt, Airflow, and Looker to enhance data efficiency.
• Implement data modeling, naming conventions, and automated quality testing.
• Collaborate with cross-functional teams and stakeholders to communicate technical findings.
• Support the design and implementation of robust data warehousing and reporting solutions.

Requirements

• At least 4 years of proven SQL experience (joins, parameterization, debugging).
• Solid understanding of ETL and data warehousing concepts.
• Fluent in English and Lithuanian.
• Curious and growth-oriented mindset.
• Strong communication skills to manage stakeholders and share progress.
• Ability to tackle problems from both business and technical perspectives.

Nice to have

• Experience working with dbt.
• Experience with analytics tracking tools like Snowplow or GA4.

Culture & Benefits

• Health insurance and on-site gym/fitness classes.
• €1100 yearly budget for personal or team growth and learning.
• Flexible work arrangements and 7 extra days off.
• Freedom to work remotely from anywhere for up to 2 months per year.
• Pet-friendly offices with provided breakfasts, lunches, and snacks.
• Opportunities for internal mobility and referral bonuses.