Senior Software Engineer - Data Platform (d/f/m, Berlin)

Monda; Berlin; Hybrid; EUR 67.500 - 82.500; Vollzeit

Zusammenfassung

A leading data software company based in Berlin is seeking a Senior Software Engineer (d/f/m) to design and build scalable data pipelines and backend components for secure data sharing. The ideal candidate will have over 5 years of experience in software engineering, a strong expertise in Python, and be proficient in Snowflake. This role promises a competitive salary starting at €75K gross annually and offers a hybrid working model. Join a passionate team and help fuel the AI revolution.

Qualifikationen

• 5+ years of experience as a Software Engineer, Data Engineer, or a hybrid role.
• Strong Python expertise in clean, testable, maintainable code.
• Experience designing scalable data systems on Snowflake.
• Knowledge of workflow orchestration frameworks like Prefect.
• Good understanding of cloud-native architectures and Docker.

Aufgaben

• Design and build configurable data pipelines for various use cases.
• Develop core backend components for publishing data products.
• Ensure data flow reliability including observability and performance.
• Build cross-cloud data exchange capabilities between environments.
• Collaborate closely with product and engineering teams.

Kenntnisse

Python expertise

Building scalable data systems

Workflow orchestration frameworks (e.g. Prefect, Airflow)

Cloud-native architectures

Collaboration in cross-functional teams

Ausbildung

Degree in Computer Science or related field

Tools

Snowflake

Docker

Terraform

Jobbeschreibung

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.

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.

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.

Senior Software Engineer (d/f/m)

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 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

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 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

Bonus qualifications

• 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 environments
• Genuine passion for Data Engineering, with additional experience in web application development or adjacent software domains

We’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.