Senior Data Engineer

Cloudfide is a company engineering solutions where data becomes an accelerator for innovation. We build and evolve large-scale Big Data and cloud-native platforms for global clients, including Fortune 500 leaders, while working with the latest technologies like AI, ML, and modern data architectures.

Key responsibilities

• Designing and implementing scalable, production-grade data pipelines, data models, and data processing frameworks in cloud environments.
• Leading the technical design of cloud data architectures, contributing to standards, guidelines, and long-term platform strategy.
• Driving best practices in data engineering, including quality assurance, lineage, observability, testing, and automation.
• Optimizing data workflows for performance, cost efficiency, and reliability across distributed systems.
• Collaborating with clients and senior stakeholders to understand requirements and communicate technical decisions.

Requirements

• 4+ years of hands-on experience as a Data Engineer or in a closely related engineering role.
• 2+ years of experience working with cloud platforms such as Azure, AWS, or GCP.
• Strong Python skills with the ability to write maintainable, production-ready code.
• Advanced SQL proficiency and experience with relational databases.
• Expertise in DWH data modeling, ETL/ELT architectures, and modern data design patterns.

What we offer

• Remote-first work environment allowing you to work from anywhere in the world.
• Annual development budget and access to top e-learning platforms.
• Flexible working hours and a focus on healthy work-life balance.
• Opportunities for real ownership and internal promotion paths.
• Private medical care and sports benefits.