Stellenbeschreibung:

Job Summary:
You’ll work at the intersection of data architecture, engineering, and analytics — enabling better decisions and stronger products.


Key Responsibilities:
• Design, develop, and maintain scalable data pipelines and ETL processes
• Build and optimize data models for analytics and reporting
• Integrate data from various sources (e.g., APIs, databases, third-party tools, blockchain nodes)
• Ensure data quality, consistency, and governance across systems
• Collaborate with data scientists, analysts, and product managers to understand data needs


Requirements:
• 2–5+ years of experience as a Data Engineer or in a related role
• Proficiency in SQL and at least one programming language (e.g., Python, Scala, Java)
• Experience with data pipeline tools like Airflow, dbt, or Luigi
• Familiarity with cloud data platforms (AWS, GCP, Azure)
• Solid understanding of relational and non-relational databases


Nice to Have:
• Experience with blockchain or Web3 data (on-chain/off-chain indexing, RPC, The Graph, etc.)
• Knowledge of data warehousing concepts and tools
• Familiarity with data security and privacy regulations (GDPR, etc.)