Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com
Job Description
Job Description
Build and maintain scalable data solutions to support marketing analytics and audience activation initiatives, with a strong focus on Databricks, governed data structures, reusable components, and reliable data pipelines.
The idóneo candidate has strong experience working with Databricks, Git-based development workflows, marketing performance data, customer identity matching, and data governance.
You will work with data from multiple enterprise sources, transform legacy audience logic into governed definitions, and build reliable data products that support analytics and downstream activation.
Responsibilities
• Develop and maintain scalable data pipelines in Databricks, using Unity Catalog and Delta.
• Curate Genie spaces and semantic layers, including table and column metadata, certified metric definitions, example SQL, and trusted assets.
• Maintain and refactor existing Git/GitHub repositories, developing modular and reusable data components.
• Implement CI/CD workflows for Databricks solutions, including promotion from development to controlled UAT environments.
• Model marketing performance data including email events, campaign and promotion history, offers, packages, and tours.
• Build point-in-time audience histories and connect marketing sends with downstream sales outcomes.
📌 Data Engineer Lead (Bogotá)
🏢 Blend
📍 Bogotá