
Full-Stack Data Platform Engineer
Posted May 23

Posted May 23
This is a fully remote position, open to applicants in Germany.
• Design, implement, and maintain a scalable data warehouse using technologies such as BigQuery, Snowflake, Redshift, or similar platforms.
• Develop and enhance ETL pipelines to efficiently ingest data from APIs and internal systems.
• Model and manage datasets to facilitate flexible analytics and support product features.
• Collaborate with the engineering team to enhance data mining capabilities and analytics performance.
• Build and sustain dashboards and visualization tools (such as Metabase, Tableau, and Power BI) to provide insights for both internal and external stakeholders.
• Ensure data reliability, cost-effectiveness, and performance optimization across various environments.
• Implement event-driven pipelines for real-time analytics and reporting.
• Contribute to best practices in data governance, privacy, and security.
• Proven experience in data warehouse architecture and scalable analytics infrastructure.
• Proficient in SQL, data modeling, and optimizing pipeline performance.
• Hands-on experience with ETL tools, data ingestion frameworks, and cloud-based data operations.
• Ability to balance technical expertise with practical impact — you create systems that users actively engage with.
• Comfortable making trade-offs between cost, scalability, and complexity.
• Eager to understand how data can be transformed into insights, drive decisions, and facilitate automation.
• Competitive compensation aligned with market rates and geographic location.
Attio
TechBiz Global
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