Seargin is a dynamic multinational tech company operating in 50 countries. At Seargin, 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.
Data Virtualization Software Engineer
Wroclaw/Krakow
Poland
Senior
B2B
Design and implement scalable and reliable data distribution systems utilizing VQL, Python, Spark, and other open-source technologies.
Manage extensive datasets with tools like Denodo, ADLS, Databricks, and Kafka, focusing on sophisticated data modeling, replication, and SQL optimization techniques.
Demonstrate deep knowledge in Python for data manipulation (using libraries like Numpy, Scipy, Panda) and implement machine learning and AI solutions (such as Tensorflow and Chat GTP).
Collaborate with solution architects and business analysts to design and deliver high-quality, bug-free modules and solutions tailored to enterprise needs.
Apply industry-standard methods, techniques, and SDLC protocols, including code control, inspection, and deployment, ensuring consistent and high-quality code production.
Lead cross-functional teams in a multi-site setup, driving fast-paced development and delivery while effectively communicating technical analyses and project updates.
Employment based on a B2B contract
Opportunity to work in a stable, dynamically developing international company.
Chance to participate in interesting projects and work with the latest information technologies.
Attractive remuneration rates offered.
Involvement in the most prestigious international projects.
Access to Multisport benefits and private healthcare services.
Minimum of 8-10 years in the tech sector, with at least 4-5 years dedicated to developing large-scale applications using data virtualization and data streaming technologies.
Proficiency in Denodo, Python, Spark, and experience with SQL, with a strong foundation in data virtualization platforms.
Strong leadership abilities to guide teams and projects; excellent communication skills to articulate technical details and project status effectively.
Advanced problem-solving skills to develop innovative solutions and address complex technical challenges in data management.
Ability to adapt to a rapidly changing environment and collaborate effectively with various stakeholders and teams across different geographies.
