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# Staff Software Engineer - AI Data Platform & Snowflake , Berlin)

- **Company:** Monda Labs
- **Location:** Berlin, Germany (Remote available)
- **Salary:** €90,000.0 - €110,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Amazon S3, ARM Architecture, BigQuery, Cloud Database, Cloud Storage, Data Infrastructure, Data Sharing, Data Warehousing, Django Web Framework, Python (Programming Language), DataOps, Data Ingestion, Azure Data Factory, Snowflake, Low Latency, Data Management, Vertica, Network Server, Azure Synapse Analytics, Data Pipelines, Amazon Redshift, Databricks
- **Published:** July 19, 2026
- **Apply:** https://www.adzuna.de/details/5803078710

## About the Role

* Data Warehousing: In-depth experience with Snowflake (*required) and similar platforms like Databricks, BigQuery, Redshift, Azure Synapse, or ClickHouse
 * Data Pipeline Orchestration: Hands-on experience with Prefect (preferred) or similar tools like Airflow, Dagster, Flyte, Mage, or Metaflow
 * Data Ingestion & Egress: Proven experience loading/unloading data from/to S3-compatible cloud data storage like Amazon S3, GCS, Azure Blob Storage, etc.
 * AI Data Agents: Experience building agents, skills/CLI, and MCP servers with Snowflake Cortex AI (preferred), Google Vertex AI, Databricks, or similar
 * Application Engineering: Expert-level experience designing and coding data-intense back-ends with Django and Python (*required) or similar
 * Data Observability: Experience in montioring data quality & anomalies with tools like Metaplane, Monte Carlo, Soda, Great Expectations, or similar
 * Cross-Cloud Data Sharing (bonus): Experience sharing data products with Snowflake Data Sharing, Delta Sharing, BigQuery Sharing, Azure Data Share

## Description

Engineer the data backbone of the AI economy: We're looking for an individual contributor (IC) with proven experience in designing and building secure, high-scale data platforms. You've worked with a heterogeneous cloud data architecture supporting both structured and unstructured data sources. In addition, you have deep expertise in automated data pipeline orchestration and data observability. Preferrably, you already released AI data agents in production systems for users, creating measurable customer value., You'll take ownership to build, architect, and innovate on our AI Data Platform:

 * Build: Maintain and develop our high-scale data product platform, running close to 400K data pipeline jobs per month at petabyte scale
 * Architect: Design and improve our cross-cloud data architecture and infrastructure to ensure high-scalability, low-latency, and cost-efficiency
 * Innovate: Implement AI-driven features and AI data agents that support customers in creating & exposing semantically-rich, AI-ready data products (e.g. via MCP)


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