Data Engineer

Role Overview

Join a forward-thinking engineering team at the forefront of building the data foundation for next-generation AI and cloud technologies. Design and maintain scalable data infrastructure that powers analytics, reporting, and strategic decision-making across a rapidly growing technology platform.

What You Will Do

Design, develop, and maintain scalable and reliable data pipelines, build and optimize data infrastructure, implement data quality monitoring, and optimize data storage architectures.

Why It Might Be a Fit

This is an excellent opportunity for an engineer who enjoys solving complex data challenges, optimizing distributed systems, and contributing to innovative products with global impact.

Requirements

• 3+ years of experience in data engineering, data platform development, or a related technical field
• Strong proficiency in SQL and solid programming skills in Python
• Hands-on experience designing and maintaining data pipelines using orchestration tools
• Experience working with distributed data processing frameworks
• Strong understanding of data modeling principles, data architectures, and modern storage systems
• Ability to optimize data workflows, processing performance, and large-scale data infrastructure
• Familiarity with data governance, data quality, and data lifecycle management best practices
• Strong analytical thinking, problem-solving abilities, and attention to detail
• Excellent collaboration and communication skills

Benefits

• Competitive compensation package
• Flexible remote working opportunities and strong work-life balance
• Career growth, mentorship, and continuous learning opportunities
• Exposure to cutting-edge AI, cloud infrastructure, and large-scale data engineering projects
• Collaborative, innovative, and highly technical work environment
• Meaningful ownership of projects and the ability to make a visible impact
• Dynamic culture that encourages bold thinking, innovation, and professional development
• Access to global teams and cross-functional collaboration opportunities