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Staff Software Engineer - AI Data Platform & Snowflake (d/f/m, Berlin)

Monda Labs · Berlin

On-siteSeniorEUR 90k–110k / yrPosted 14 Jul 2026

What this role requires

3 requirements, read out of the advert rather than guessed from the job title:

Also mentioned, not required: Databricks, BigQuery, Redshift, Azure Synapse, ClickHouse, Prefect, Airflow, Amazon S3, GCS, Azure Blob Storage, Google Vertex AI, Metaplane, Monte Carlo, Soda, Great Expectations. Worth having, but their absence is not what gets a CV filtered out.

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Job description

Data is the oxygen for AI. Yet, providing secure, governed data access to AI agents, applications, and users is overly complex today. Monda's AI data platform lets anyone easily ship AI data analysts for conversational analytics and share AI-ready data to any destination without coding — powered by Snowflake's AI Data Cloud.

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 Oct 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

Read the full description (19 more sections)

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.

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