Senior Software Engineer - Data Platform , Berlin) gesucht in Berlin

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., * Design and build generic, configurable data pipelines that work across customers and use cases, reducing bespoke implementations and operational overhead

• Develop core backend components that enable customers to connect diverse data sources and publish marketplace-ready data products for secure data sharing and monetization
• Own data flow reliability end-to-end: observability, performance, error handling, and scalability of Python-based pipelines orchestrated with Prefect and running on AWS ECS
• Build cross-cloud data exchange capabilities, enabling secure, high-performance data sharing between Snowflake and other cloud environments
• Evolve the platform architecture, balancing flexibility and standardization while keeping long-term maintainability in mind
• Collaborate closely with product, engineering, and customers to translate real-world data workflows into robust platform abstractions
• Continuously improve developer and customer experience, reducing operational friction for both internal teams and data consumers

• 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 systems
• Strong Python expertise, with a focus on writing clean, testable, and maintainable code beyond one-off pipelines
• Solid experience designing scalable data systems on Snowflake, including performance optimization, security, and data sharing concepts
• Experience building and operating generic, reusable data pipelines rather than highly customized, client-specific workflows
• Practical knowledge of workflow orchestration frameworks (e.g. Prefect, Airflow, Dagster); ability to reason about orchestration patterns independent of specific tools
• Good 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 roles, * Degree in Computer Science, Information Systems, Application Programming, or a related technical field
• Hands-on experience with Infrastructure as Code (IaC) tools such as Terraform
• Background in international B2B software applications, ideally within the e-commerce industry
• In-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 domains

The start date is asap, work location is Berlin (hybrid), base salary starts at €75K gross / annum (based on experience).

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.