Top Data Engineer Jobs in Romania

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.

Design, build, and maintain scalable ETL pipelines and data infrastructure using Spark and Kafka. Work with SQL/NoSQL databases, containerized deployments (Kubernetes), and collaborate with data scientists and engineers to ensure reliable, performant data flows and documentation.

The Lead Mechanical Engineer will design HVAC systems for data centers, conduct airflow analysis, and ensure system reliability and energy efficiency, collaborating with other engineers and stakeholders.

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.

The role involves developing and managing data ingestion pipelines, collaborating with AI scientists, and ensuring data processing efficiency.

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

The Data Quality Engineer will ensure the quality of pharmaceutical data, automate quality metrics, and improve data processing pipelines in a collaborative environment.

The Data Operations Developer builds dashboards for business analysis and reporting, optimizes data processes, and collaborates with teams to deliver BI solutions.

The role involves developing and delivering training materials, creating multimedia content, and collaborating with staff to meet training needs while managing engineering data processes.

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

The Senior Data Science Engineer will develop and deploy machine learning solutions focused on demand forecasting and optimization for a fleet management platform, ensuring reliability and impact, while working with various stakeholders.

As a Senior Data Engineer, you will architect scalable data solutions, develop ETL pipelines with cloud technologies, ensure compliance, and mentor junior engineers while enhancing cybersecurity capabilities.

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.

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.

The Senior Data Engineer will lead design and implementation of data flows, mentor a team, and drive data initiatives while ensuring effective data engineering practices.

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 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.

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.

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