Top Data Engineer Jobs in Romania

As a Data Engineer at Zapier, you'll build scalable data systems, enhance product functionality through data, and collaborate with teams to improve data access and usability.

As a Data Engineer, build and manage data pipelines, ensure data quality, and support analytics for trading. Collaborate with teams to define data needs and best practices for infrastructure and applications.

Lead backend engineering for CrowdStrike's cloud-native security platform, focusing on scalable distributed systems and high-performance coding.

The role involves building scalable cloud-based systems, developing core services, ensuring data security, and collaborating across teams at CrowdStrike.

The role involves building highly-scalable cloud-based systems using microservices architecture, focusing on security services and data storage technologies.

As a Data Engineer, you will design, build, and maintain data pipelines and infrastructure, ensuring reliable data flow and processing within the organization.

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

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.

Develop scalable cloud-based systems using microservices architecture, support security services, and collaborate with multiple teams to enhance the security platform.

The Data Engineer will build a creative intelligence pipeline, connecting ad data to ETL processes, enabling time-series queries, and documenting the setup for handoff.

Join the Cloud Engineering team at CrowdStrike to build scalable, cloud-based systems using microservices architecture and learn cutting-edge technologies.

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

The Data Engineer will oversee cloud consumption analytics, improve consumption models, optimize data solutions, and report on cloud financials.

As a Junior Data Engineer, you'll develop ETL pipelines, support data modeling, and work with cloud technologies in an agile team environment.

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 Data Engineer will develop a gas sales management platform, maintain data pipelines, create data pipelines, and perform ETL activities in Azure Synapse and Data Factory.

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

Design and maintain data pipelines and data architecture for scalable processing. Collaborate across teams to support data needs and ensure quality.

As a Data Engineer, you'll maintain and configure the Snowflake data platform, design integration pipelines, and innovate with new tools. Your role supports data security and performance while collaborating across 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.

As a Data Engineer, you will work on designing and maintaining ETL pipelines, support data scientists, ensure data quality, and collaborate closely with teams to enhance data processing workflows.

Architect and implement data solutions using Microsoft Fabric. Define data strategy, build ETL pipelines, design semantic models, and optimize performance.

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

As a Middle Data Engineer, you will migrate legacy SQL Server data warehouses to a cloud-based Snowflake environment, refactor ETL processes, and build data pipelines for analytics and reporting.

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