Cloud Data Engineer responsible for modern Data & AI solutions on Microsoft Azure. Collaborating with clients and teams to develop production - ready data platforms and support analytics.
About the role
- Senior Data Engineer designing, building, and maintaining data pipelines for global social discovery products. Collaborating with teams to turn data into insights and optimize data quality.
Responsibilities
- Design, build, and maintain data pipelines (Airflow, Airbyte, DBT, Snowflake)
- Implement Medallion architecture (bronze / silver / gold layers)
- Develop reliable ETL/ELT processes and integrate data from multiple sources (SQL/noSQL/APIs)
- Improve data modeling practices and overall data quality
- Optimize performance and troubleshoot issues
- Collaborate closely with analysts and business teams to turn data into insights
Requirements
- Strong SQL and Python skills
- Hands-on experience with DBT (models, macros, tests, snapshots)
- Solid knowledge of Snowflake
- Experience building data warehouses and pipelines
- Understanding of data modeling (star / snowflake schemas)
Benefits
- REMOTE OPPORTUNITY to work full-time
- 27 paid WORKING days off per year (100% compensation)
- 10 paid sick days per year (80% compensation)
- Technical equipment by request (laptop, headphones, keyboard, mouse), either provided via delivery or compensated depending on the region
- Educational courses for professional and personal development by request (Coursera)
- 1-to-1 language lessons on Preply (any language available on the platform) by request
- Referral program (up to 5000 EUR)
- Home office setup budget: 1,000 EUR, renewable every 3 years
- Wellness budget: up to 2,800 EUR per year to compensate for medical, wellness, or sports-related services
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