About the job

Welcome to Liven! We are crafting a global ecosystem of self-regulation products that empower individuals to disengage from emotional autopilot and cultivate better relationships with themselves.
Within our ecosystem, we offer:
Self-discovery Companion — an app chosen by over 2.5 million users. It provides a space for self-exploration through AI coaching, mood tracking, audio practices, and bite-sized learning.
Online Coaching — sessions with certified experts to navigate complex situations.
Supplements — for physical recovery and body support.
We are on a continuous expedition with ambitious plans to expand our ecosystem.
Liven is a company for the curious. We are driven by curiosity — an intrinsic need to ask questions, dig deeper, and not shy away from the unknown challenges.
Our passion lies in creating products and solutions that genuinely help. Our curiosity and experimental culture exist to discover better ways to support and guide individuals on their self-discovery journeys.
Currently, we are seeking a Data Engineer / Analytics Engineer at Liven.
In this role, you will be responsible for establishing the company’s robust data foundation, designing storage architecture, and providing analytical teams with quality, ready-to-use data.
Challenges Awaiting You:
— Ensuring the continuous provisioning of necessary data to analytical teams across various business domains (marketing, product, operations) through stable integrations (using Airbyte and custom solutions);
— Organizing long-term DWH architecture (data layer development, modeling, ensuring data integrity);
— Developing and optimizing our ELT processes and data transformations within BigQuery using Dataform, as well as implementing reliable process orchestration (with plans to transition to Airflow/Astronomer);
What We Value:
— Excellent SQL knowledge and a deep understanding of modern analytical warehouse construction concepts;
— Practical experience with cloud data ecosystems (ideally GCP, BigQuery) and data transformation tools (Dataform/dbt);

