Top Data Engineer Jobs in Romania

Develop and maintain large-scale data platforms using Java and Spark. Own features from design to deployment while optimizing performance and enabling analytics.

As an experienced backend engineer, you'll develop robust, scalable APIs and systems while managing high-volume data and ensuring reliability.

As a Principal Database Engineer, you will architect scalable PostgreSQL solutions, ensuring data reliability, performance, and collaborating with teams to build a robust data platform for GitLab's growth.

The role involves managing RDF data models, developing SPARQL queries, maintaining data workflows, and collaborating with backend engineers for semantic integration.

N-iX seeks a Data Engineer with MLOps experience to create scalable ML pipelines, deploy models, and contribute to best practices in data engineering and coding.

The Data Engineer will design, maintain, and optimize data pipelines and models, collaborate with stakeholders, and promote data tools for analytical needs.

The Data Engineer will enhance fraud prevention capabilities by developing data engineering pipelines for real-time and batch data processing. Responsibilities include collaborating with stakeholders to define pipeline requirements, designing and developing pipelines, and managing releases in production environments.

The Senior Python Data Engineer will develop strategies for data acquisition, operationalize file parsers, architect data models, and create visualizations using various tools.

Lead and mentor a team of data engineers, provide technical guidance, architect data solutions on AWS, and optimize data pipelines.

Design and architect scalable backend services, develop robust governance systems, build SaaS solutions, and mentor junior engineers to enhance IoT platform capabilities.

The Data Engineer will migrate and optimize databases for clients, design infrastructure for data extraction and transformation, and collaborate with teams on data needs.

As a Data Engineer at VOX, you'll develop Kafka ingestion and Spark processing pipelines while managing Iceberg tables and Dremio transformations, contributing to a multi-tenant Customer Data Platform for telecom services.

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.

Lead and mentor a team of data engineers while architecting and implementing data solutions on AWS. Drive technical direction and project delivery.

The Data Engineer will build ETL/ELT pipelines, manage AI model training datasets, and create automated evaluation pipelines, focusing on AI integration.

The Data Engineer will design, build, and maintain data systems and pipelines for analytics and business decisions, ensuring data usability.

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

The role involves driving end-to-end testing activities, developing test plans, ensuring data quality, and collaborating with various teams to meet business requirements.

As a Backend Engineer (Data Engineering), design and build scalable data pipelines and infrastructure for processing security data, ensuring reliability and performance.

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

Join Adobe's team to develop data architectures and SaaS solutions, focusing on scalability, performance, and mentoring within a collaborative environment.

Design and deliver APIs for medical data, develop ETL pipelines, maintain data models, and contribute to CI/CD processes while ensuring code quality.

Develop modern data architectures and Lakehouse solutions while promoting good software engineering practices within an agile engineering team.

The role involves developing data architectures, building Big Data and Lakehouse solutions, and optimizing data processing at scale. Responsibilities include guiding architecture, engaging in agile development, and promoting software engineering best practices.