Data Engineer

We are a software house passionately creating solutions that transform the way our clients utilize data. Our goal is to provide innovative technologies that drive the future of business. At Pragmile, every idea matters, and every opinion is valued. We work with the latest technologies to build scalable and efficient data processing systems that support our clients' decisions on a global scale.

We value collaboration, responsibility, and growth. You will work with experienced engineering, ML, and data science teams to build advanced data processing platforms and scalable solutions for handling large data sets.

Responsibilities

• Build and maintain distributed data processing pipelines.
• Design and implement robust software architectures for data processing.
• Collaborate closely with data science teams and ML engineers to deploy and operate high-throughput AI/ML models.
• Develop new features, test, measure impact, and continuously improve the data platform based on lessons learned.
• Build solutions at a global scale and optimize for performance.
• Proactively suggest new technologies and architectures to improve our data platform.

Requirements

• Strong knowledge of data structures and algorithms.
• Deep understanding of object-oriented design and integration patterns.
• Proven experience in building data processing platforms and applications.
• Experience in building distributed data processing pipelines and multiprocessing applications.
• Experience working with data engineering tools for large data sets, data transformations, and querying.

Nice-to-have

• Experience with audio processing would be an advantage.

What we offer

• Opportunities for personal and professional growth in a dynamic, innovative environment.
• A training budget to help you develop your skills.
• Private medical care and co-financing of a sports card.
• Flexible working hours and the possibility of fully remote or hybrid work.
• Work on modern company equipment, without remote desktops and unnecessary corporate software.

Join us if you want to build a future based on data and develop your skills in a company that values innovation and strives for excellence!