The Mission

At Marvik, the Data Engineering team is central to our goal of leading in AI and machine learning. We provide the foundations that allow businesses to move from fragmented, unstructured data to organized, actionable insights.

We work to create a seamless environment where analytics and AI teams can access reliable data without getting bogged down by integration or governance complexities. If you are looking to expand your skills beyond standard ETL and work on infrastructure that supports advanced analytics and machine learning, this is the right place for you.

What You Will Do
- Build Reliable Pipelines: You will design and maintain efficient data pipelines - from batch to real-time - ensuring smooth data flow and transformation across different systems.
- Solve Data Fragmentation: You will help centralize and structure data from various sources to avoid the inefficiencies of siloed information.
- Support AI & Analytics: You will work on preparing clean, structured data that enables faster and more accurate insights for AI models and business reporting.




- Implement Orchestration: You will manage dependencies and data flows using modern orchestration patterns to ensure systems are reliable and maintainable.
- Focus on Data Quality: You will help implement validation frameworks to ensure consistency, accuracy, and trust in the datasets we manage.
- Optimize Infrastructure: You will collaborate to assess existing setups and identify areas to improve scalability and cost-efficiency.
- Secure the Platform: You will help apply governance frameworks and security standards - such as ISO 27001, Well-Architected frameworks, or GDPR - to ensure data is secure and compliant.

What We Are Looking For
- Engineering Foundation: You treat data engineering as a software discipline, with an understanding of CI/CD pipelines, version control, and modular code design.
- Core Languages: You have professional experience with Python and SQL, using them for data manipulation

📌 Data Engineer (Colombia)
🏢 Marvik
📍 Colombia