Top Data Engineer Jobs in Romania

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 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 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.

Design, build, and maintain data pipelines and infrastructure. Collaborate with teams to process large-scale data efficiently, ensuring integrity and availability.

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 Senior BI Data Engineer will design and enhance the BI platform, manage data processes, ensure quality, and lead technical initiatives while collaborating with stakeholders.

The role involves configuring and troubleshooting Apache Airflow, advising data engineering teams, and supporting customer integration with data ecosystems. Responsibilities also include conducting technical workshops and managing customer onboarding while ensuring stable solutions in distributed systems.

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

The Data Engineer will migrate, optimize, and enrich customers' databases using cloud services while supporting solutions architects and data scientists.

The role involves analyzing encrypted raw network data, building analysis pipelines, and developing a Blockchain analytics product, requiring strong knowledge of network protocols and scripting skills.

The Data Engineer will design and maintain data pipelines and infrastructure, automate data ingestion, and collaborate with teams for data processing and governance.

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 Data Engineer will design and maintain data pipelines, optimize ETL processes, ensure data quality, and collaborate in an agile environment.

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.

The Data Engineer will design and optimize data pipelines and datasets in Azure and AWS, translating financial requirements into scalable solutions alongside business stakeholders.

As a Data Engineer, you will build and maintain data pipelines, support analytics, and ensure data quality while collaborating with cross-functional teams.

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.

Develop and deploy big data anti-fraud detection solutions using Python and PySpark, collaborate with team members, and ensure software reliability.

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

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

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.