Top Data Engineer Jobs in Romania

Seeking a Senior Data Support Engineer with 5-6 years of experience in Data Engineering, specifically utilizing Snowflake, Python, SQL, and AWS for data manipulation, warehousing, and testing processes.

The Senior Data Engineer will design and develop data pipelines, ensure data quality, optimize ETL processes, and oversee the full data lifecycle documentation for a market intelligence platform.

As a Senior Data Engineer, you will develop ETL flows, analyze data, design models, manage data using Oracle Exadata, and collaborate with various teams while adhering to quality and performance standards.

As a Data Engineer, you will design and build data pipelines and backend services, focusing on ETL processes and workflow orchestration for ML models.

Develop and maintain the KDB data platform, focusing on code quality, automated testing, and understanding KDB architecture, while collaborating with cross-border teams.

End-to-end delivery of ML-powered services, involving research, prototyping, production, and operations. Collaborate on product requirements while maintaining high quality and operational excellence.

The role involves developing high-quality backend services, maintaining components, participating in architectural improvements and ensuring system scalability while collaborating with various teams.

As a Staff Data Engineer, you'll design large-scale data processing systems, build robust data pipelines, and lead data architecture and governance efforts, optimizing performance across the platform.

Design and implement scalable Azure data platforms, develop data pipelines, and support clients with data modernization and governance practices.

As a Senior Data Engineer, you will design and build data pipelines, collaborate with teams, and support data transformation initiatives.

The DataOps Engineer will build a modern data platform focusing on infrastructure, automation, and observability, collaborating with data engineers to ensure reliable data systems.

The Senior Data Engineer will build and maintain scalable data pipelines, optimize costs, and redefine data architecture for growth, performance, and reliability, collaborating with various teams to ensure data quality and efficiency.

The Data Network Engineer will design, implement, and manage LAN, WAN, and various networking solutions, with an emphasis on Juniper and Cisco technologies, providing high-performance network infrastructures.

The Lead Data Engineer will design and implement scalable data solutions for the Post Trade Division, focusing on AWS and Snowflake while managing stakeholders across various locations.

The Senior Data Engineer will design scalable systems, automate ML operations, optimize performance, and enhance infrastructure for data processing and monitoring.

Design and maintain data pipelines, collaborate with stakeholders, ensure data quality, deploy infrastructure as code, and optimize reporting solutions.

The Senior Data Engineer will design and optimize data pipelines, focusing on ETL, data modeling, BI integration, and automation using Python and Apache Airflow, while utilizing Azure DevOps for CI/CD.

The Senior Data Engineer designs, maintains, and optimizes ML applications and data pipelines, ensuring compliance and quality while mentoring junior engineers.

As a Senior Data Engineer, you will design and maintain ML applications, manage workflows, build data pipelines, and mentor junior engineers within a global team.

Design and maintain data infrastructure, build pipelines for data collection, ensure data quality, and collaborate with stakeholders on data requirements.