Top Data Engineer Jobs in Bucharest

As a Sr. Software Backend Engineer, you will design and build scalable cloud-based systems, leveraging various technologies while collaborating across teams to enhance security services.

As a Software Engineer in Reporting, Statistics, and Automation, you will design and develop software for enhancing data reporting, statistical analysis, and process automation, working on scalable solutions and collaborating with cross-functional teams.

The role involves designing and developing software solutions for data reporting and automation, collaborating with teams to enhance efficiency and accuracy.

Design and maintain scalable data warehouse solutions in BigQuery, build data pipelines, implement data quality checks, and collaborate with analysts.

The Data Developer will design, code, and manage data pipelines, ensuring performance, reliability, and maintainability. Responsibilities include data transformations, monitoring data quality, and collaborating on data architecture with cross-functional teams.

As a Senior Software Engineer at CrowdStrike, you'll build scalable cloud systems with a focus on microservices architecture while collaborating on data platform components and enhancing security services.

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.

The Data Engineer will design and maintain scalable data solutions in BigQuery, optimize performance, implement data quality checks, and collaborate with stakeholders to meet business requirements.

The Data Engineer designs, implements, and monitors security controls for cloud and on-premises infrastructure, ensuring resilience against cyber threats and compliance with regulations while collaborating with teams.

Design and operate scalable Java-based backend services, develop APIs, build data pipelines, and collaborate with cross-functional teams for personalized solutions.

As a Flink Data Engineer, you will develop real-time streaming pipelines, upgrade Flink environments, migrate datasets, and ensure data quality through automation and collaboration with teams.

Collaborate in a team to develop and deploy big data anti-fraud solutions using PySpark and Python, ensuring code quality and maintainability.

The Data Engineer role involves creating data pipelines, conducting ETL activities, and transforming data in Azure Synapse and Azure Data Factory. Responsibilities include data ingestion from various sources and orchestrating ETL processes.

As a Data Engineer, you will design and manage scalable data pipelines, process various data types, collaborate with Data Scientists, and contribute to team knowledge-sharing.

The Senior Data Engineer will develop scalable ETL pipelines, write maintainable Python code, optimize data transformation processes, and utilize Google Cloud services while collaborating in an agile team.

The Python Data Engineer is responsible for designing and managing data pipelines using cloud technologies, processing large-scale data, and collaborating with Data Scientists. Key responsibilities include ETL/ELT development and data architecture.

The Senior Python Engineer will develop and optimize data pipelines, manage workflows, implement CI/CD processes, and collaborate with cross-functional teams to enhance the AI & Data platform.

The Senior Python Engineer will design and optimize data pipelines, manage workflows using Airflow, and deploy applications in Kubernetes, contributing to a core AI & Data platform and collaborating with cross-functional teams.

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.

As a Senior Data Engineer, you will design and implement scalable data solutions, develop automated pipelines, and support cloud transition using AWS and Snowflake.

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.

The Qlik Sense Developer will create applications, manage data modeling, support internal users, and collaborate with teams focused on data visualization.

Design, develop, and maintain microservices for data ingestion, focusing on scalability and reliability using Java and various big data technologies.

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