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.

The Data Engineer is responsible for developing data and machine learning models, managing cloud data infrastructure, and contributing to data governance and machine learning strategies.

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.

Build scalable cloud-based systems using microservices architecture, ensuring the security and availability of petabytes of business data while collaborating across teams.

The role involves developing and maintaining automated test suites for large-scale distributed systems, validating features, collaborating across teams, and contributing to tools and frameworks.

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

Develop and maintain data pipelines using SQL and Snowflake, support analytics, ensure data quality, and collaborate with teams.

Develop ETL pipelines, write documentation, implement and debug code, and collaborate with team members to ensure project success.

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

The Software Engineer III role involves building scalable cloud-based systems, developing core services, and supporting CrowdStrike's security platform. You'll collaborate across teams, mentor others, and engage with emerging technologies.

Design and maintain data pipelines using DBT, optimize models in Snowflake, and develop Streamlit applications with Python while applying software development best practices.

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, you will design, develop, and maintain data warehouses, optimize data pipelines, and collaborate with stakeholders to enhance data-driven decision-making 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.

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 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.

The Data Engineer will build and maintain data infrastructure, manage ETL platforms, ensure data quality, and mentor DevOps teams while collaborating cross-functionally.

The Data Engineer will develop ETL flows, integrate data into Azure Data Warehouse, maintain data flows, and support data analytics teams with optimizations and infrastructure management.

Design, develop and maintain data pipelines and ETL/ELT workflows, ensuring reliability and scalability while collaborating with stakeholders to meet data needs.

Lead a Scrum team to design, build, and deliver high-scale microservices. Provide technical leadership, mentor team members, and ensure quality principles are adopted. Collaborate on features and maintain system integrity.

The Power BI Developer will build Canvas and Model-Driven Power Apps, design Dataverse databases, and develop Power BI reports while collaborating with various teams to enhance Power Platform adoption.

Design and manage advanced data systems, build data pipelines, and ensure data quality using GCP tools and ETL processes.