Top Data Engineer Jobs in Romania

The Manager of Data Science will lead a team focused on AI innovations utilizing LLMs, provide mentorship, and align technical strategies with business goals.

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.

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.

The Senior Data Engineer will design and build scalable data pipelines, modernize data architectures, ensure data quality, and collaborate with cross-functional teams to transform business requirements into data solutions.

Design, build, and maintain scalable data pipelines on GCP; optimize data models; ensure data quality; support legacy data migration; collaborate with teams; implement monitoring; contribute to data governance best practices.

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

The role involves designing and implementing large-scale data pipelines on GCP, maintaining production-grade data solutions, and collaborating with engineers on data foundations.

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 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.

The Data Engineer will design and implement cloud-native data and AI platforms on AWS, build scalable data architectures, maintain ETL/ELT pipelines, and collaborate with teams and customers to deliver effective data solutions.

The Senior Product Data Engineer will build, iterate, and launch data products, focusing on large-scale data processing and ETL/ELT pipelines, using various technologies and implementing AI features.

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.

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

Support the MMB Analytics team's solutions by monitoring data loads, triaging bugs, and collaborating with development on troubleshooting. Document findings and assist with release tasks.

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.

The Data Engineer will design and optimize data pipelines in Azure and AWS environments, working with large datasets, building ETL/ELT processes, and creating data models to support analytics and reporting. Collaboration with business stakeholders and emphasis on data quality is key.

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.

The Data Engineer will build and maintain data pipelines, ensure data quality, and support advanced analytics with a focus on AI-driven use cases.

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 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.

End-to-end delivery of ML-powered services, involving research, prototyping, production, and operations. Collaborate on product requirements while maintaining high quality and operational excellence.

The Senior Data Analytics Engineer will design and maintain analytical pipelines, write SQL for large datasets, utilize AI tools, and communicate insights to stakeholders.