Top Data Engineer Jobs in Bucharest

As a Data Engineer, you'll design and maintain ETL pipelines, write TypeScript code, and collaborate with stakeholders to ensure data quality and performance.

The Junior Data Engineer will analyze data, design experiments, build a marketing data stack, and collaborate with teams to improve data access and insights.

As a Big Data Platform Engineer, you will manage and optimize Cloudera Data Platform clusters, automate workflows, and collaborate with teams to enhance data operations.

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 scalable systems, automate ML operations, optimize performance, and enhance infrastructure for data processing and monitoring.

Design, build, and maintain scalable GCP data pipelines and ETL/reverse ETL processes using Dataflow, Dataform, and BigQuery. Develop secure APIs for ingestion, optimize data models and Datastream integrations, implement monitoring, and ensure GDPR/CCPA-compliant data governance for player analytics and fraud detection.

As a Senior Data Engineer, you will design, develop, and optimize data pipelines in a cloud-first environment, ensuring data quality and system resilience, while collaborating with cross-functional teams.

As a Senior Data Engineer, you'll analyze data integrity issues, optimize backend services, facilitate client communication, and mentor other engineers while engaging in agile development processes.

The Data Engineer will enhance, test, and implement applications, support IT operations, and collaborate with stakeholders to ensure delivery of robust solutions.

The Senior Software Engineer will develop big data applications, focusing on accumulation monitoring in the (re-)insurance industry. Responsibilities include designing a Spark calculation engine, data modeling, and enabling BI reporting. Requires teamwork and code review participation.

The role involves creating and automating infrastructure features for data platforms using Python, with a focus on distributed systems and collaboration within a global team.

The role involves automating OpenSearch operations by developing features in Python, collaborating with an international team, and providing expertise on data platforms.

As a Software Engineer on the data platform team, you'll automate data platform operations, write Python code, and collaborate on solutions within a distributed team.

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.

Join Zencore as a Senior Data Engineer, leveraging Google Cloud expertise and technology strategies to assist clients with data and application modernization.

Design, develop, and maintain data models and transformation pipelines using Snowflake and DBT. Collaborate with teams to deliver high-quality data solutions, troubleshoot issues, and implement best practices.

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

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.

Seeking a skilled Data Engineer to design, develop, and deploy ML solutions with expertise in Python, Databricks, Snowflake, and AWS, focusing on supply chain management.

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

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.

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.