The Role
Own, design, and develop the AI Data Platform: maintain a high-scale data product platform (≈400K pipeline jobs/month, petabyte scale), architect cross-cloud data infrastructure, build and operate automated data pipelines, ensure data observability and quality, and implement AI-driven features and AI data agents to expose AI-ready data products.
Summary Generated by Built In
Monetize data, fuel AI: Monda helps companies to turn data into products into revenue. Our AI data monetization platform makes it easy to build and deliver AI-ready data products, ready to be consumed by (agentic) AI.
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.
TL;DR: Salary range from €90-110K, work location Berlin, start date from May 1, 2026
Tasks
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)
Requirements
* 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
Benefits
* Ownership: Participation in our employee stock options program (VESOP)
* Balance: 30 days of vacation and flexible working hours (aligned with team)
* Mobility: €63 monthly public transport budget (covers your Deutschland-Ticket)
* Flexibility: 3 days office / 2 days home office (options for remote work periods)
* Hardware: High-end hardware of your choice (Mac/Linux)
We're looking forward to receiving your application and encourage to apply from any background and even if you don't fulfill all requirements.
We commit to answer fast to your application. The process will be led by our tech founder personally and you will get the chance to speak with our engineering team about your code and our platform.
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.
TL;DR: Salary range from €90-110K, work location Berlin, start date from May 1, 2026
Tasks
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)
Requirements
* 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
Benefits
* Ownership: Participation in our employee stock options program (VESOP)
* Balance: 30 days of vacation and flexible working hours (aligned with team)
* Mobility: €63 monthly public transport budget (covers your Deutschland-Ticket)
* Flexibility: 3 days office / 2 days home office (options for remote work periods)
* Hardware: High-end hardware of your choice (Mac/Linux)
We're looking forward to receiving your application and encourage to apply from any background and even if you don't fulfill all requirements.
We commit to answer fast to your application. The process will be led by our tech founder personally and you will get the chance to speak with our engineering team about your code and our platform.
Skills Required
- Experience with Snowflake
- Experience with data warehousing platforms (Databricks, BigQuery, Redshift, Azure Synapse, ClickHouse)
- Hands-on experience with data pipeline orchestration tools (Airflow, Dagster, Flyte, Mage, Metaflow)
- Hands-on experience with Prefect
- Experience loading/unloading data to/from S3-compatible object storage (Amazon S3, GCS, Azure Blob Storage)
- Experience building and operating high-scale data platforms (handling ~400K pipeline jobs/month, petabyte scale)
- Experience designing cross-cloud data architecture and infrastructure for scalability, low-latency, and cost-efficiency
- Expert-level experience designing and coding data-intense back-ends with Python
- Experience with Django
- Experience building AI data agents and MCP servers (Snowflake Cortex AI preferred, Google Vertex AI, Databricks or similar)
- Experience in data observability and monitoring data quality & anomalies (Metaplane, Monte Carlo, Soda, Great Expectations or similar)
- Cross-cloud data sharing experience (Snowflake Data Sharing, Delta Sharing, BigQuery Sharing, Azure Data Share)
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The Company
What We Do
Monda is an all-in-one data monetization platform that empowers companies to start, run, and scale their data businesses. By packaging data assets into governed data products, the platform enables secure sharing and monetization of proprietary data via APIs, bulk feeds, and AI agents, helping businesses drive revenue and fuel the AI revolution.
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