Data Engineer

SEARGIN IS HIRING!

As a dynamic multinational tech company operating in 50 countries, we drive innovation and create projects that shape the future and greatly enhance the quality of life. You will find our solutions in the space industry, supporting scientists in the development of cancer drugs, and implementing innovative technological solutions for industrial clients worldwide. These are just some of the areas in which we operate!

Currently, for the new Seargin project we are looking for a Data Engineer:

• B2B
• Remote from PolandAbout the Role:

We are seeking talented Data Engineers (Medior and Senior levels) to join our team and contribute to developing robust data pipelines. This role is primarily focused (80%-90%) on creating and managing data pipelines while leveraging cutting-edge technologies. If you are passionate about data engineering and want to work with GCP (Google Cloud Platform), we’d love to hear from you!

Responsibilities:

• Design, build, and maintain efficient data pipelines to meet business needs.
• Manage and optimize Spark clusters for performance and scalability.
• Work with the team to ensure high-quality implementation and smooth data flow processes.
• (Senior only) Participate in internal technical platform reviews and provide strategic insights.
• (Senior only) Collaborate with diverse stakeholders and team members to ensure alignment with broader data platform objectives.
• (Senior only) Ensure high-quality code and best practices across the team.

Required Skills:

• Must-Have (for both Medior and Senior roles):
• Proficiency in pySpark.
• Experience in managing and working with Spark clusters.
• Solid expertise with Google Cloud Platform (GCP) (experience with other cloud providers is not relevant).
• Strong understanding of data pipeline implementation principles.
• Senior-Level Additional Requirements:
• Broader knowledge and experience in Data Platforms.
• Proven ability to collaborate with multiple stakeholders and cross-functional teams.
• Expertise in code quality assurance and ensuring adherence to best practices.