Full-Stack Data Platform Engineer

This is a fully remote position, open to applicants in Germany.

📋 Description

• 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.

⛳️ Requirements

• 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.

🏝️ Benefits

• Competitive compensation aligned with market rates and geographic location.