We build data product sharing software which fuels AI.
Monda believes that any company should be able to share and access the data they need to fuel AI. Therefore we create a borderless data sharing ecosystem to fuel the AI revolution and accelerate human progress. We encourage and empower any company in the world to share and monetize their data safely.
Our Engineering Team :
We are a passionate, multicultural engineering team dedicated to turning complex data challenges into seamless software — always deciding, acting, and delivering with the customer experience at the core.
Our Data Tech Stack :
Snowflake, Prefect, Python, Django, AWS, Terraform, Cloudflare, Docker, Github, Heroku
Our Tech Challenges :
- Simplify cross-cloud data product creation : Enable easy onboarding of data sources from multiple cloud environments and ensure reliable data delivery for true cross-cloud sharing, supporting seamless data marketplace integrations across AWS, GCP, Azure, Snowflake, and Databricks.
- Fuel the AI revolution : Streamline data customization and multi-asset data product management, empowering integrations with leading data marketplaces such as Datarade, Snowflake Marketplace, Databricks, Google Cloud Analytics Hub, and SAP Datasphere. Drive innovation in data platforms : Tackle the challenges of scalability, reliability, and performance in a rapidly evolving, multi-cloud ecosystem while enabling business-ready, high-quality data products.
Tasks
We're looking for a Senior Software Engineer (d / f / m) to join our software engineering team in Berlin. As an individual contributor (IC), you'll work closely with our Head of Engineering. You'll build a data platform as a product , not just pipelines. You’ll design and implement reusable, generic systems that allow data teams to move faster with less custom engineering.
The start date is asap, work location is Berlin (hybrid), base salary starts at €75K gross / annum (based on experience).
What you'll do :
Design and build generic, configurable data pipelines that work across customers and use cases, reducing bespoke implementations and operational overheadDevelop core backend components that enable customers to connect diverse data sources and publish marketplace-ready data products for secure data sharing and monetizationOwn data flow reliability end-to-end : observability, performance, error handling, and scalability of Python-based pipelines orchestrated with Prefect and running on AWS ECSBuild cross-cloud data exchange capabilities , enabling secure, high-performance data sharing between Snowflake and other cloud environmentsEvolve the platform architecture , balancing flexibility and standardization while keeping long-term maintainability in mindCollaborate closely with product, engineering, and customers to translate real-world data workflows into robust platform abstractionsContinuously improve developer and customer experience , reducing operational friction for both internal teams and data consumersRequirements
Minimum qualifications :
5+ years of professional experience as a Software Engineer, Data Engineer, or in a hybrid role , building and operating production-grade data platforms or backend systemsStrong Python expertise , with a focus on writing clean, testable, and maintainable code beyond one-off pipelinesSolid experience designing scalable data systems on Snowflake , including performance optimization, security, and data sharing conceptsExperience building and operating generic, reusable data pipelines rather than highly customized, client-specific workflowsPractical knowledge of workflow orchestration frameworks (e.g. Prefect, Airflow, Dagster); ability to reason about orchestration patterns independent of specific toolsGood understanding of cloud-native architectures , including containerization (Docker) and running workloads on AWS (ECS or similar)Comfortable working in cross-functional, product-oriented teams , collaborating closely with engineering, product, and customer-facing rolesBonus qualifications :
Degree in Computer Science, Information Systems, Application Programming, or a related technical fieldHands-on experience with Infrastructure as Code (IaC) tools such as TerraformBackground in international B2B software applications, ideally within the e-commerce industryIn-depth knowledge of multiple cloud service providers (e.g., AWS, GCP, Azure) and experience working in cross-cloud environmentsGenuine passion for Data Engineering, with additional experience in web application development or adjacent software domainsWe’d love to hear from you! Apply now and expect a fast, transparent hiring process : a quick intro call, a focused code challenge, and conversations with the team and founders.
Monda is a B2B software company, founded in 2018 in Berlin. We're building the AI data monetization platform that used by over +150 companies to turn data into products into revenue. Our customers use Monda to to create AI-ready data products that can be easily consumed by AI agents and tools for better decision-making.