Senior Data Engineer - Snowflake & Data Sharing (d/f/m, Berlin)

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About Monda Monda builds data‑product sharing software that fuels AI.

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Position Summary We are looking for a Senior Data Engineer (d/f/m) to join our software engineering team in Berlin. Collaborate across teams to align technical solutions with customer and business needs, driving engineering excellence and platform reliability.

Experience working in agile, cross‑functional teams, embracing iterative development and continuous improvement. Background in international B2B software applications, ideally within the e‑commerce industry.

Apply now and expect a fast, transparent hiring process: a quick intro call, a focused code challenge, and conversations with the team and founders. #J-18808-Ljbffr We create a borderless data‑sharing ecosystem to help companies share and monetize data safely while driving the AI revolution.

As an individual contributor (IC), you will work closely with the Head of Engineering, develop new cross‑cloud data sharing features from scratch, and improve platform stability and data pipelines. Start date: 1 January 2026. Location: Berlin (hybrid). Base salary: €75 000 gross per annum (based on experience).

Responsibilities Enable customers to connect diverse data sources and publish marketplace‑ready data products, fueling seamless data exchange and monetization. Ensure solid, observable, and efficient data flows by operating Python pipelines orchestrated with Prefect and running on AWS ECS.

Connect and unify data across multiple cloud environments, enabling secure and high‑performance data exchange between diverse customer systems and platforms. Design, develop, and maintain our Snowflake‑based cross‑cloud data platform with scalable and future‑proof architecture.

Requirements 5+ years of hands‑on experience as a Data Engineer or in a similar role, building and maintaining large‑scale data systems in a Snowflake environment. Expert knowledge of Snowflake and Python, with experience designing efficient, scalable, and secure data pipelines.

Proficiency in data orchestration frameworks such as Airflow, Dagster, or dbt – experience with Prefect is a strong plus. Solid understanding of containerization and cloud infrastructure, particularly with Docker and AWS ECS. Proven experience in data platform architecture, data delivery, and data lifecycle best practices.

Strong sense of ownership and accountability, with the ability to prioritize, assess criticality, and deliver results under minimal supervision. 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.

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.

Seniority Level Senior Data Engineer Employment Type Full‑time Apply We’re excited to hear from you!