Top Data Engineer Jobs in Romania

The Data Science Engineer will design ML and AI solutions, conduct analyses, support data integration, collaborate with stakeholders, and improve processes to drive business impact.

The role involves implementing GridOS solutions, technical deliverables management, and ensuring customer satisfaction through ongoing support and collaboration with internal teams and clients.

The Senior Data Engineer will design and deploy ML solutions for supply chain management, focusing on data preparation and model implementation using Python, Databricks, and AWS, while collaborating with stakeholders for alignment on project objectives.

The Senior Data Platform & Cloud Engineer will architect and engineer data infrastructure on AWS, design ETL/ELT pipelines, and lead initiatives in data governance and collaboration with teams.

The role involves developing high-quality backend services, maintaining components, participating in architectural improvements and ensuring system scalability while collaborating with various teams.

The Staff Data Engineer will design and build the core data platform, mentor team members, and lead technical initiatives while collaborating across teams for effective data utilization.

The Senior Data Engineer will evolve the data platform, design data products, build ETL/ELT pipelines, and optimize data processing with AWS services.

Design and build domain-oriented data products using GraphQL APIs, optimize ETL/ELT pipelines with AWS Glue and PySpark, and maintain a data lake on AWS.

As a Senior ETL Engineer, you will develop ETL flows, manage data in Oracle Exadata, and ensure quality code delivery while collaborating within an Agile Scrum team.

The Power BI Developer is responsible for creating reports in Power BI, improving existing functionalities, conducting data analysis, and collaborating with clients.

The role involves building and integrating data pipelines, enhancing feature stores for real-time ML applications, and improving data monitoring for FinCrime contexts.

Lead data engineering projects, design data architecture, collaborate with stakeholders, create data pipelines, and ensure data governance and quality.

Lead and manage data engineering projects, collaborating with stakeholders to design and implement modern data architecture, data pipelines, and governance strategies.

Lead Data Engineers at Thoughtworks design and implement data architectures, manage projects, and collaborate with stakeholders, data scientists, and clients to deliver data solutions.

The Sr Data Engineer will enhance the DoiT Cloud Intelligence product, optimize big data warehouses, and collaborate with cross-functional teams to improve data models and systems.

As a Sr Data Engineer, you will improve data warehouse performance, collaborate on data models, and design monitoring tools.

The Sr Data Engineer will analyze and optimize big data warehouses, improve data models and pipelines, and design monitoring tools.

The Senior Data Engineer will design and maintain Looker dashboards, write SQL queries, develop LookML models, and ensure data accuracy for business insights.

As a Senior Data Engineer, you will design and build core infrastructure for a data platform, optimize systems, mentor teams, and tackle complex technical challenges.

Design and maintain data infrastructure, build pipelines for data collection, ensure data quality, and collaborate with stakeholders on data requirements.