Data Engineer (SAP Data Platform) - Bogotá, Colombia

Contract | Hybrid (3 Days Onsite) | Contract Until 31 December 2026
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 integral 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 2026
- Contract Length: Until 31 December 2026 with possible extensions
- Workload: Full-time (40 hours per week)
- Language: Fluent English required

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