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 Engineer
Remote
European Union
Mid
B2B
Create and deliver systems for data handling and processing.
Develop routines for efficient data ingestion and integration.
Implement transformation and curation processes for optimal data quality.
Ensure effective distribution mechanisms for data across the platform.
Design and implement quality control measures to ensure data accuracy and reliability.
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.
Expertise in Snowflake data warehousing solutions.
Strong experience working with Python and Streamlit for data pipelines.
2+ years of experience with data pipeline programming using Python or R.
1+ years of experience in maintaining data pipelines.
1+ years of experience with various storage types (e.g., filesystem, relational, MPP, NoSQL) and working with structured and unstructured data.
1+ years of experience in data architecture concepts (e.g., data modeling, metadata management, ETL/ELT, real-time streaming, data quality, distributed systems).
2+ years of working experience with SQL.
Proficient with Git, Gitflow, and DevOps tools (e.g., Docker, Bamboo, Jenkins, Terraform).
Strong knowledge of Unix systems.
Good knowledge of Java and/or Scala for data-related tasks.
Experience with pharmaceutical data formats (e.g., SDTM) is a big plus.