This position is focused on using GCP tools such as dbt, Airflow, and Looker to enhance data quality, efficiency, and ensure timely and accurate data delivery. The role requires identifying, investigating, and solving data issues including data quality, discrepancies, and missing data. Responsibilities also involve contributing to the development and improvement of data solutions, leveraging dbt for complex modeling problems with emphasis on performance, robustness, and scalability, working on prevention and alerting solutions, adopting best practices in data processes, and effectively communicating with cross-functional teams and non-technical stakeholders. The engineer will assist the team in designing, developing and implementing data warehousing, reporting, and analytics solutions while taking ownership of tasks and initiatives.

Proven SQL skills including ability to join and manipulate data of different types (String, Integer, JSON, Array), write parameterized scripts, and debug SQL code. Knowledge of ETL and warehousing concepts is required. Strong communication skills for clear, timely, and consistent sharing of information including work progress and issues. A curious and growth-oriented learning mindset is essential. Capability to understand and communicate problems from technical and business perspectives. Fluency in English is mandatory.

The gross salary range for this role is 2500 to 4600 EUR per month. The position is based in Vilnius, Lithuania, at the company headquarters.

Employees will have the opportunity to impact health tech products that improve the lives of over 7 million people, flexible work options including working remotely for 2 months per year, career growth opportunities within 30+ brands, startup-like culture with innovative spirit, office perks including stocked fridge, hot lunches, healthy breakfasts, an in-house movie theater, community events, gym, fitness classes, social clubs, themed meeting rooms, team-building trips, extra days off, private health insurance after 3 months, personal care gestures, learning and development budget, and a casual atmosphere with easy-going communication. Additional conditions apply based on residence location.

Applicants are encouraged to send their details and resume via the application form on the website. The hiring process includes an initial application, HR meeting, meeting with the manager to discuss specifics, testing related to the role, and then a final decision. Candidates may upload their CV and fill out necessary personal information including country of residence during the application process. Consent for data processing and future job opportunities contact is required. A privacy policy is provided for candidate rights and data protection details.

Step 1: Apply - Submit details and resume.
Step 2: Meet HR - Introduction and initial vibe check.
Step 3: Meet the Manager - Discussion of role specifics.
Step 4: Testing - Complete test tasks or test day.
Step 5: Decision - Final decision and onboarding if matched.