Senior Data Engineer

At Cloudfide, we engineer 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 in 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 and contributing to long-term platform strategy.
• Driving best practices in data engineering, including quality assurance, 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 with the flexibility to work from anywhere in the world.
• Annual 2,000 PLN development budget and access to top e-learning platforms.
• Long-term collaboration opportunities with a focus on professional growth and internal promotions.
• Flexible working hours to support a healthy work-life balance.
• Comprehensive benefits including private medical care and sports packages.