Top Data Engineer Jobs in Romania

Design and implement data pipelines, manage analytics platforms, develop solutions based on client requirements, and communicate with stakeholders. Required to have expertise in relational databases, data processing using Python, and knowledge of ETL and data warehousing.

As a Data Engineer, you will develop and maintain data ingestion adapters for blockchain networks, implement data ingestion strategies, optimize latency, and collaborate with upstream data sources. You will perform data quality checks and adapt to a dynamic remote work environment.

As an Azure Data Engineer, you will work with international clients to manage data extraction, transformation (Bronze, Silver, Gold), and reporting using Power BI and real-time dashboards. Your role includes collaboration with requesters or Product Owners to ensure data solutions meet client needs.

You will design, build, and maintain data-related infrastructure and systems to support our AI-powered sales platform, leveraging your expertise to allow efficient access and processing of information.

The Data Engineer will develop, maintain, and optimize data pipelines and workflows to support Machine Learning (ML) research. Responsibilities include implementing scalable data architectures, collaborating with researchers, working with databases, writing efficient code, and ensuring data integrity and performance.

Senior Data Engineers at Thoughtworks build and maintain software architecture for data applications. They develop data processing pipelines, collaborate with data scientists, implement data governance, and ensure data quality while utilizing modern data tools and frameworks.

As a Data Engineer at Vaayu, you will transform customer data into standardized formats, contribute to improving transformation pipelines, and assist the team with customer data inquiries. Your role will be crucial in supporting the mission of reducing environmental impact through effective data handling.

The Data Engineer will develop databases and data pipelines, create end-to-end data solutions, and maintain scalable data solutions while collaborating with various stakeholders to ensure data security and project success.

As a Senior Data Engineer at Thoughtworks, you will design and implement data solutions, develop data pipelines, collaborate with data scientists, and ensure data quality and governance. You will leverage modern data architecture to address business objectives and use various technologies for data storage and processing.

Lead Data Engineer at Thoughtworks will manage data engineering projects, collaborating with stakeholders to design and implement data solutions. Responsibilities include creating data processing pipelines, ensuring data quality, governance, and security, while leading a team and advising clients on modern data architecture.

As a Lead Data Engineer, you will oversee data engineering projects from inception to completion, collaborate with stakeholders, design modern data architectures, and develop complex data pipelines. Your role involves writing code, managing data governance, and ensuring data quality while leading and advising clients on technological solutions.

The Sr. Course Development Engineer will create and improve technical courses on CodeSignal’s platform, mentor new team members, and collaborate to maintain high quality in course content.

The Research Engineer at Autodesk will lead engineering projects focused on data acquisition, processing, and experimentation to build ML-powered product features. This role involves organizing diverse datasets into unified formats suitable for machine learning while collaborating closely with researchers. Responsibilities include developing pipelines, conducting experiments, and ensuring data compliance.

As a Senior Data Engineer at 3Pillar, you will develop and maintain ETL pipelines, craft high-quality client code, and collaborate with team members on project requirements and status tracking. Your role will involve building robust data ingestion pipelines and ensuring data security and best practices in data manipulation.

As a Senior Software Engineer at S&P Global Market Intelligence, you will design and develop large-scale, cloud-first solutions to handle significant data transfers and calculations. You'll enhance data platforms, build data-intensive applications, support business needs, and ensure robust solutions through strong collaboration and problem-solving skills.

The Senior Data Engineer is responsible for designing and implementing data solutions, ensuring accurate data flows into analytical data-stores and dashboards, and supporting high-performance algorithms and predictive models. The role includes integrating new technologies and collaborating with team members to enhance data reliability and quality.

The Principal Data Engineer will build data foundations for an AI-powered architecture design product, creating optimized data systems and robust data pipelines that support rapid experimentation and decision-making processes, and collaborating with cross-functional teams to meet data needs.