About the job

Hello! We are Liven, on a mission to create a global ecosystem of self-regulation products designed to help individuals turn off their emotional autopilot and foster better relationships with themselves.
Within our ecosystem, we offer:
- Self-discovery Companion – an app embraced by over 2.5 million users, providing a space for self-exploration through AI coaching, mood tracking, sound practices, and bite-sized learning.
- Online Coaching – sessions with certified experts to tackle complex situations.
- Supplements – aiding physical recovery and body support.
- We are on a continuous expedition with ambitious plans to expand our ecosystem.
Liven is a company for the inquisitive. We are driven by curiosity, the intrinsic need to ask questions, dig deeper, and not shy away from challenges.
Our passion for creating products and solutions that truly help is what fuels us. Our curiosity and culture of experimentation exist to discover the best ways to support and guide people on their journey of self-discovery.
We are currently seeking a Data Engineer / Analytics Engineer to join Liven.
In this role, you will be responsible for building a robust data foundation for the company, designing data warehouse architecture, and ensuring the analytical teams have quality, ready-to-use data.
Your challenges will include:
- Ensuring seamless provision of necessary data to analytical teams across various business domains (marketing, product, operations) through stable integration setups (using Airbyte and custom solutions);
- Organizing long-term DWH architecture (data layer development, modeling, and ensuring data integrity);
- Enhancing and optimizing our ELT processes and data transformations within BigQuery using Dataform, along with implementing reliable orchestration processes (with plans to transition to Airflow/Astronomer);
What matters to us:
- Strong proficiency in SQL and deep understanding of modern data warehouse architecture concepts;
- Practical experience with cloud data ecosystems (preferably GCP, BigQuery) and data transformation tools (Dataform/dbt);
