Senior Data Engineer (AI/ML & Azure) - Remote - Latin America

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

About the role

We’re looking for a Senior Data Engineer with a strong AI/ML focus to join a team supporting modern data and AI initiatives for an innovative client. The ideal candidate brings hands‑on experience with Python, Azure Data Factory, Azure Machine Learning, and Microsoft Fabric, combined with a solid understanding of modern data engineering and AI/ML workflows. This is a client‑facing role that requires strong communication skills and the ability to translate technical concepts into practical solutions. It’s a great opportunity for someone who enjoys working at the intersection of data engineering and emerging AI technologies in a collaborative, fast‑paced environment.

Key Responsibilities

• Design, build, and maintain scalable data pipelines and data engineering solutions.
• Develop and manage data workflows using Python and Azure Data Factory.
• Work with Microsoft Fabric to build and support modern data solutions.
• Leverage Azure Machine Learning and related technologies to support AI/ML initiatives.
• Prepare, transform, integrate, and optimize data for analytics, machine learning, and AI use cases.
• Collaborate directly with clients to understand requirements and translate business needs into technical solutions.
• Communicate technical concepts, architecture decisions, and recommendations clearly to technical and non-technical stakeholders.
• Work closely with data scientists, engineers, and other stakeholders to deliver data and AI solutions.
• Identify opportunities to improve data pipelines, processes, and AI/ML workflows.

Core Requirements

• Strong professional experience in Data Engineering.
• Strong hands‑on experience with Python.
• Experience with Azure Data Factory.
• Experience with Azure Machine Learning or similar Azure AI/ML services.
• Experience with Microsoft Fabric.
• Solid understanding of data pipelines, data transformation, and modern data architectures.
• Strong understanding of AI/ML concepts and workflows.
• Experience working directly with clients or other external stakeholders.
• Excellent written and verbal communication skills in English.
• Ability to work independently in a remote, fast‑paced environment.

Nice-to-Have

• Experience productionizing machine learning models or AI solutions.
• Experience with additional Azure data and AI services.
• Experience with LLMs, Generative AI, or AI-powered applications.
• Experience in consulting or other client‑facing technical environments.

Additional

• US Timezone Overlap: 6-7 hours with PST.
• Strong client‑facing presence and ability to communicate complex technical concepts clearly.
• An AI-forward mindset and genuine interest in applying emerging AI technologies to data engineering problems.

Why Join Kake?

Kake is a remote-first company with a global community - fully believing that it’s not where your table is, but what you bring to the table that matters. We provide top‑tier engineering teams to support some of the world’s most innovative companies, and we’ve built a culture where great people stay, grow, and thrive. We’re proud to be more than just a stop along the way in your career - we’re the destination.

The icing on the Kake:

Competitive Pay in USD: Work globally, get paid globally.

Fully Remote: Simply put, we trust you.

Better Me Fund: We invest in your personal growth and passions.

Compassion is Badass: Join a community that invests in social good.