Top Data Engineer Jobs in Romania

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 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 Data Engineer, you will extract and transform data using Python and SQL, design data models, and collaborate with stakeholders to develop data solutions.

The Data Engineer will write Python and SQL code for data extraction, build data products, design data models, and collaborate with stakeholders to develop data solutions.

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.

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

The Middle Data Engineer will design and develop data pipelines using Azure Databricks and maintain Lakehouse architectures, integrating with SQL Server data warehouses while ensuring data quality and performance optimization for analytics.

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

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 Data Engineer role focuses on developing predictive models and enhancing data engineering practices to support business objectives. Responsibilities include writing clean code, model evaluation, and collaboration with a global team to improve reporting and campaign management.

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 Data Scientist will work on data analysis, applying machine learning and generative AI to extract insights from diverse data sources in predictive maintenance and digital twins.

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 Cloud Data Engineer (FinOps) will develop and maintain financial operations solutions in AWS and Azure, optimize costs, create dashboards, automate processes, and analyze cloud consumption patterns to guide financial decisions.

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

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.

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

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.

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.

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.

As a Data Platform Engineer, you will design and implement scalable data platform infrastructure, build CI/CD pipelines, and collaborate with teams to optimize data architecture.

The role involves driving AI tooling adoption, developing AI agents, embedding in Scrum teams, and optimizing AI's impact on engineering productivity.