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Data Engineer / Analytics Engineer at Liven | Krakow

skelarKrakowNew
On-site Full-time

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Experience Level

Experience

Qualifications

Proficient in SQL with an in-depth understanding of modern data warehouse architecture. Hands-on experience with cloud data ecosystems, preferably Google Cloud Platform and BigQuery. Experience with data transformation tools such as Dataform or dbt. Strong analytical skills and a proactive attitude toward challenges.

About the job

Hello! We are Liven, creating a global ecosystem of self-regulation products that empower individuals to disengage from emotional autopilot and cultivate healthier relationships with themselves.

Within our ecosystem, you will find:

  • Self-discovery companion , an application embraced by over 2.5 million users, offering a space for personal exploration through AI coaching, mood tracking, auditory practices, and bite-sized learning.

  • Online Coaching , sessions with certified experts to navigate complex situations.

  • Supplements , for physical recovery and bodily 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 desire to ask questions, dig deeper, and not shy away from the unknown.

Our passion lies in creating products and solutions that genuinely help. Our curiosity and experimental culture exist to discover better ways to support individuals on their self-discovery journey.

Currently, we are seeking a Data Engineer / Analytics Engineer at Liven.

In this role, you will be responsible for establishing a robust data foundation for the company, designing storage architecture, and delivering high-quality, ready-to-use data to analytics teams.

Challenges you will face include:

, Seamlessly providing analytics teams across various business domains (marketing, product, operations) with necessary data through stable integrations (using Airbyte and custom solutions);

, Organizing long-term DWH architecture (developing data layers, modeling, ensuring data integrity);

, Developing and optimizing our ELT processes and data transformations within BigQuery using Dataform, as well as implementing robust process orchestration (with plans to transition to Airflow/Astronomer);

What is important to us:

, Excellent SQL knowledge and a deep understanding of modern data warehouse concepts;

, Practical experience with cloud data ecosystems (ideally GCP, BigQuery) and data transformation tools (Dataform/dbt);

, Strong analytical skills and a proactive approach to problem-solving.

About skelar

Liven is dedicated to building a global ecosystem of products for self-regulation, helping individuals to step away from emotional autopilot and foster better connections with themselves. Our innovative solutions are designed to enrich personal journeys through curiosity and experimentation.

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