Top Data Engineer Jobs in Bucharest

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, 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.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

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.

Responsible for application lifecycle management, ensuring compliance, project management, and technical performance monitoring in an Agile-Scrum environment, while engaging stakeholders.

The Senior Data Analyst will optimize fleet utilization and operational efficiency by building ETL pipelines and analytical dashboards, managing data platforms, and partnering with stakeholders.

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.

Responsible for creating and maintaining SAP material master data, managing BOMs and routings, providing support for production issues, and analyzing data with SAP and Excel.

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.

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 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.