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Mid-Level Data Engineer (Remote, Poland)

talent-hr • Poland
Remote
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Seeking a mid-level Data Engineer to build and maintain a modern data platform for a global startup. Responsibilities include developing ETL pipelines, dbt models, and Python scripts, with a focus on Google BigQuery. Requires strong SQL, Python, dbt, and Git skills, along with excellent English communication.

Key Highlights
Build and maintain robust ETL data pipelines.
Develop, test, and document dbt models following engineering best practices.
Work extensively with Google BigQuery for analytics, optimization, and cost efficiency.
Key Responsibilities
Build and maintain robust ETL data pipelines.
Develop, test, and document dbt models following engineering best practices.
Work extensively with Google BigQuery for analytics, optimization, and cost efficiency.
Write clean, maintainable Python code for data processing and automation.
Collaborate closely with cross-functional teams, communicating requirements and outcomes clearly.
Ensure data quality, reliability, and consistency, monitoring pipelines and troubleshooting end-to-end.
Contribute to data architecture decisions in a dynamic startup environment.
Technical Skills Required
dbt Google BigQuery Python
Benefits & Perks
Fully remote work setup from Poland
Opportunity to grow and take on significant ownership
Competitive compensation
Nice to Have
Experience with event-based data, funnels, retention, cohorts, and LTV.
Experience with data orchestration tools (Airflow, Prefect, Dagster).
Familiarity with data ingestion tools (Fivetran, Airbyte, or similar).
Exposure to GCP beyond BigQuery.
Prior experience working in a startup or fast-paced environment
Experience in the gaming industry

Job Description

We are a growing, fast-paced global startup building advanced data-driven products, and we're looking for a mid-level Data Engineer to help build, maintain, and scale our modern data and analytics platform.

This is a hands-on, remote role based in Poland, where you'll work closely with analytics and product teams to turn raw data into reliable, well-modeled datasets that support strategic decision-making across the company.

What You'll Do:

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