Data Engineer (SAP Data Platform) - Bogotá, Colombia Contract | Hybrid (3 Days Onsite) | Contract Until 31 December **** Languages Required: English (Fluent) Overview We are seeking an experienced Data Engineer to support a global SAP-focused data initiative within a growing Data & AI function.
The consultant will work as part of an international team responsible for building, maintaining, and optimizing modern cloud-based data solutions that support analytics, reporting, and AI-driven use cases across the business.
This role requires strong expertise in Snowflake and/or Databricks, Python, AWS, dbt, SQL, and Git , along with the ability to collaborate effectively with globally distributed teams across multiple regions.
Key Responsibilities Design, develop and maintain scalable data pipelines using Python and cloud-native technologies.
Build and support ETL/ELT processes for ingesting, transforming and integrating data into enterprise data platforms.
Develop and optimize data models using dbt and modern data engineering best practices.
Support Snowflake and/or Databricks environments, ensuring performance, scalability and reliability.
Create and maintain high-quality, analytics-ready datasets for reporting, advanced analytics and AI initiatives.
Optimize SQL queries, data transformations and platform performance.
Implement CI/CD processes and version control practices using Git.
Ensure data quality, governance, monitoring and documentation standards are applied across data solutions.
Troubleshoot and improve existing data pipelines, workflows and integrations.
Collaborate closely with data architects, analysts, product owners and business stakeholders to deliver scalable data products.
Support global SAP-related data initiatives and enterprise data platform activities.




Required Experience 7+ years of experience in Data Engineering.
Strong hands-on experience with Snowflake and/or Databricks.
Advanced Python development experience for data processing, automation and pipeline development.
Strong SQL skills including complex querying, optimization and performance tuning.
Experience designing, developing and maintaining ETL/ELT pipelines.
Hands-on AWS experience, including services such as S3, Lambda, Glue and EC2.
Experience using dbt for data transformation and modelling.
Experience with Git and CI/CD processes.
Experience working within cloud-based data platforms and modern data architectures.
Strong troubleshooting, analytical and problem-solving skills.
Ability to work independently while collaborating with international teams and stakeholders.
Fluent English communication skills.
Nice-to-Have Experience Experience supporting SAP-related data domains or integrations.
Experience with AI, machine learning or advanced analytics data platforms.
Experience working within global enterprise environments.
Exposure to data governance and data quality frameworks.
Experience working with distributed teams across multiple time zones.
Healthcare, life sciences or consumer products industry experience.
Working Requirements Must be based in Bogotá, Colombia.
Hybrid working model with two to three days per week onsite.
Availability to support early morning meetings with general stakeholders and teams.
Comfortable working in a highly collaborative international environment.
Logistics Location: Bogotá, Colombia Work Model: Hybrid (3 days onsite per week) Start Date: 1 September **** Contract Length: Until 31 December **** with possible extensions Workload: Full-time (40 hours per week) Language: Fluent English required #J-*****-Ljbffr

📌 Freelance Data Engineer (Sap Data Platform) - Hybrid (Bogotá)
🏢 Global Enterprise Partners
📍 Bogotá