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Senior Data Engineer
Social Discovery GroupSenior 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.
Tech Stack
Tools & technologiesAirflowETLNoSQLPythonSQL
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- 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
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLPythonDBTSnowflakeETLELTdata modelingdata pipelinesdata warehousesdata quality
Soft Skills
collaborationcommunication