Senior Software Engineer Data Platform (dfm, Berlin)

Berlin - Germany

Yearly Salary: EUR 75000 - 75000

Posted on: 3 hours ago

Vacancies: 1 Vacancy

Job Summary

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

Were looking for a Senior Software Engineer (d/f/m) to join our software engineering team in Berlin. As an individual contributor (IC) youll work closely with our Head of Engineering. Youll build a data platform as a product not just pipelines. Youll 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 youll 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

Requirements

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 environmentsGenuine passion for Data Engineering with additional experience in web application development or adjacent software domains

Wed 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.

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 compan...