Senior Data Engineer

Experience & Education:

Bachelor's degree in Computer Science or Engineering with 8–12 years of relevant experience leading and delivering complex data engineering projects with multi-team or business impact.

Enterprise Data Integration & Architecture:

Proven expertise in designing, building, and maintaining robust, scalable data pipelines (ETL/ELT). Must demonstrate the ability to navigate complex enterprise data landscapes, effectively handle undocumented schemas, and implement resilient integration solutions for high-volume data.

Cloud-Native Data Ecosystems:

Deep expertise in deploying and managing data infrastructure on cloud platforms (AWS, Azure, or GCP). Proficient in Infrastructure as Code (Terraform/CloudFormation) and establishing end-to-end CI/CD pipelines for data solutions.

Challenging and rewarding work with real impact

Direct Access to Cutting-Edge AI Platforms

Diverse and Inclusive Culture

Growth opportunities for personal and professional development

A collaborative and innovative work environment where your ideas are valued

Exposure to exciting projects and high-profile clients

As a Senior Data Engineer, you will manage the "discovery-to-scale" pipeline, identifying recurring patterns in the field and handing off validated solutions to Platform Engineers for enterprise generalization. In this forward-deployed role, you will bridge the gap between building technical products and solving real-world business problems through rapid solution delivery and deep domain immersion. Your primary objective is to design and build data integration, storage systems, and infrastructure that enable analytics and AI capabilities.

This role requires high-level autonomy, where you will define your own direction within strategic goals, influence multiple teams, and navigate high complexity and ambiguity to deliver tangible business results.