Does the idea of disrupting a multi trillion-dollar industry intrigue you?
We are SEDDI a growing SaaS company with a clear mission : To revolutionize how the world designs, manufactures, markets and sells apparel.
As Data Engineer at SEDDI you will work on the data infrastructure necessary to feed our AI-based solutions. You will have the opportunity to work on a unique data generation pipeline and design scalable and optimized solutions.
Our products enable faster time to market for our customers and help reduce the textile industry’s impact on the environment.
To do this, we need to grow our team that’s where you come in!
Work with Product and Scientist to understand their needs.
Design and implement tools and processes to optimize our data pipelines.
Evaluate new systems to understand their strengths and weaknesses.
Design and maintain Continuous Integration (CI) pipelines to support mission critical cloud services
Engineering ownership of product modules, components, and services.
Expand the reach of our analytics capabilities.
Qualifications & Skills
Degree in Computer Science, or a related field.
2 years of software developing experience.
Strong coding skills in Python.
Experience with Databases (MongoDB and MySQL).
Experience with DevOps and CI / CD systems.
Experience with cloud computing services such as Google Cloud.
Experience working effectively with research science, data engineering, and software engineering teams.
Understanding of AI, and Data Science workflows and methodologies.
Nice to have experience :
Desirable : MS Degree in Data Science, Machine Learning, or related.
Desirable : Experience with MLOps and Big Data technologies (Hadoop, Kafka,...)
Desirable : Experience with Data Science methodologies and libraries
Flexible working hours with opportunities to work remote
Nice working environment with real experts in many areas like simulation, rendering, machine learning, optical and mechanical capture hardware where you are exposed to cutting edge technologies and can grow professionally.
Modern office in Downtown Madrid.