Top Data Engineer Jobs in Romania

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.

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

The Backend Software Engineer will develop scalable cloud-based systems, support security services, mentor others, and continuously improve product architecture.

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

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

Lead petabyte-scale data ingestion for NG-SIEM, driving autonomous AI onboarding, collaborating across teams, and solving distributed system challenges.

As a Middle Data Engineer, you'll build and manage ELT/ETL pipelines using Snowflake and Airflow, ensuring data reliability while collaborating with BI teams and maintaining data integrity.

The Data Engineer will design and implement scalable data solutions on AWS, manage data pipelines, enforce data governance, and collaborate with teams to enhance processes while troubleshooting challenges.

The Data Engineer will enhance fraud prevention capabilities by developing data engineering pipelines for real-time and batch data processing. Responsibilities include collaborating with stakeholders to define pipeline requirements, designing and developing pipelines, and managing releases in production environments.

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

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.

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.

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

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

The Data Engineer is responsible for data collection, sanitization, transformation, and integration into reports to support business decisions. The role involves designing data pipelines, troubleshooting issues, and ensuring data quality in collaboration with a global team.

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.

As a Data Engineer, you will build and optimize data ingestion pipelines on Databricks, implement scalable data models, and collaborate with AI/ML teams to support advanced analytics and risk management use cases.

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 at Nansen, you will build and optimize systems for their customer-facing analytics product, collaborating closely with crypto researchers and engineers to tackle large-scale data challenges and ensure data quality and reliability.

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

The Data Infrastructure Developer will design data pipeline architecture, optimize data flow, develop test plans, and support data governance while collaborating with technical teams.

The Principal Data Engineer will improve data pipeline architecture, optimize data flows, and support data projects for various teams in the company.

Lead and mentor a team of data engineers while architecting and implementing data solutions on AWS. Drive technical direction and project delivery.