Remote Senior Data Engineer - AI/ML on Azure & Fabric

Kake; Medellín; Remote; COP 389,395,000 - 519,194,000; Full time

Job summary

Kake is seeking a Senior Data Engineer with a strong AI/ML focus to join a remote-first team. You will support modern data and AI initiatives for an innovative client, translating complex data problems into practical solutions.

The role requires hands-on work with Python, Azure Data Factory, Azure ML, and Microsoft Fabric, plus excellent client-facing communication in English. In this fast-paced, collaborative environment you will design and maintain scalable data pipelines, collaborate with

Qualifications

• Extensive experience in data engineering with a focus on AI/ML workflows.
• Proficiency with Python and building scalable data pipelines.
• Hands-on experience with Azure Data Factory and Azure Machine Learning.
• Familiarity with Microsoft Fabric and modern data architectures.
• Experience working directly with clients and translating requirements.
• Excellent English communication skills.

Responsibilities

• Design, build, and maintain scalable data pipelines and data solutions.
• Develop data workflows using Python and Azure Data Factory.
• Collaborate with clients to translate needs into technical solutions.
• Leverage Azure ML and Microsoft Fabric to support AI initiatives.
• Communicate architecture decisions clearly to stakeholders.
• Partner with data scientists and engineers to deliver data/AI solutions.

Skills

Python

Azure Data Factory

Azure Machine Learning

Microsoft Fabric

Data pipelines

AI/ML concepts

Client communication

English proficiency

Tools

Azure AI services

Job description

Kake is seeking a Senior Data Engineer with a strong AI/ML focus to join a remote-first team. You will support modern data and AI initiatives for an innovative client, translating complex data problems into practical solutions.

The role requires hands-on work with Python, Azure Data Factory, Azure ML, and Microsoft Fabric, plus excellent client-facing communication in English. In this fast-paced, collaborative environment you will design and maintain scalable data pipelines, collaborate with