Senior Data Engineer

About the role

Location: This position is remote within Colombia.

About Technology.

Technology at Huge is powered by a global practice of creative technologists—spanning Engineers, QA specialists, Business Analysts, Data Scientists, and ML Architects—we look beyond standard patterns to build resilient, enterprise-grade systems. We combine deep engineering rigor with innovation at the edge of agentic AI, modern data stacks, and cloud infrastructure. We don't wait for industry standards to set themselves; we engineer the intelligent systems that turn audacious strategic vision into production-ready reality.

The role.

Huge is looking for a Senior Data Engineer with experience in cloud-based data solutions and analytics implementation. This role combines data engineering fundamentals with Adobe Experience Cloud technologies to support data collection, tracking, transformation, and analytics across digital platforms.

You’ll work closely with technical and business teams to translate requirements into reliable data solutions, improve data quality, and support scalable analytics workflows.

What you'll be doing.

- Build and maintain data pipelines, transformations, and integrations using cloud technologies, SQL, and Python.

- Implement and support analytics solutions using Adobe Analytics, Adobe Launch, and Adobe Customer Journey Analytics (CJA).

- Develop tracking strategies, event collection plans, and technical specifications based on business and measurement requirements.

- Support data modeling, data validation, data quality, and reporting processes.

- Work with cloud-based data architectures, including GCP, to support scalable and reliable data workflows.

- Collaborate with cross-functional teams to integrate data sources and connect analytics implementation with broader data engineering needs.

- Identify opportunities to improve data governance, pipeline performance, and operational efficiency.

- Explore opportunities to incorporate AI-driven solutions into data engineering and analytics workflows.

What we'd like to see.

- 5+ years of experience in Data Engineering, Analytics Implementation, or a related field, with hands-on experience building and maintaining data solutions.

- Experience with GCP and cloud-based data solutions, including data pipelines, transformations, orchestration, and scalable architectures.

- Hands-on experience with Adobe Experience Cloud, particularly Adobe Analytics and Adobe Launch. Experience with Adobe Customer Journey Analytics (CJA) is highly valued.

- Strong proficiency in SQL and JavaScript, with experience using Python for data processing, automation, or pipeline development.

- Solid understanding of data warehousing, data modeling, ETL/ELT processes, data structures, and data quality validation.

- Ability to translate business requirements into tracking strategies, measurement plans, and technical specifications.