Top Data Engineer Jobs in Romania

The Data Quality Engineer will ensure the quality of pharmaceutical data, automate quality metrics, and improve data processing pipelines in a collaborative environment.

Design and implement scalable Azure data platforms, develop data pipelines, and support clients with data modernization and governance practices.

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

The Senior Data Engineer will design and maintain data pipelines, develop ETL processes, optimize GCP services, ensure data quality, and collaborate with stakeholders.

Design and maintain data pipelines, collaborate with stakeholders, ensure data quality, deploy infrastructure as code, and optimize reporting solutions.

As a Senior DataOPS Engineer, you will architect and maintain reliable data platforms, ensuring performance and compliance while mentoring engineers and optimizing workflows across the organization.

The role involves sourcing audio data for ingestion, managing cloud infrastructure on GCP, and collaborating with AI scientists to enhance data quality and efficiency.

The Senior Data Engineer will develop data solutions, build ETL processes, ensure data quality, and collaborate with the team on data analytics projects.

The Senior Data Engineer will design and optimize ETL/data pipelines, automate workflows, integrate data sources, and translate business needs into data solutions using Azure tools.

The Data Engineer role focuses on developing predictive models and enhancing data engineering practices to support business objectives. Responsibilities include writing clean code, model evaluation, and collaboration with a global team to improve reporting and campaign management.

As a Consultant at Deloitte, you'll design and implement technology solutions for large companies, driving business value through innovative software development.

The Staff Data Platform Engineer will architect and engineer a cloud-native data platform on AWS, focusing on ETL/ELT pipelines, automation, monitoring, and data governance while collaborating with various teams and mentoring other engineers.

The Senior Data Engineer will develop scalable ETL pipelines, write maintainable Python code, optimize data transformation processes, and utilize Google Cloud services while collaborating in an agile team.

The Software Engineer will manage data collection for model training, operate cloud infrastructure for ingestion, and collaborate on dataset roadmaps for AI teams.

The role involves creating and automating infrastructure features for data platforms using Python, with a focus on distributed systems and collaboration within a global team.

The role involves automating OpenSearch operations by developing features in Python, collaborating with an international team, and providing expertise on data platforms.

As a Software Engineer on the data platform team, you'll automate data platform operations, write Python code, and collaborate on solutions within a distributed team.

Join Zencore as a Senior Data Engineer, leveraging Google Cloud expertise and technology strategies to assist clients with data and application modernization.

As a Senior Data Engineer, you will architect scalable data solutions, develop ETL pipelines with cloud technologies, ensure compliance, and mentor junior engineers while enhancing cybersecurity capabilities.

The Senior Python Engineer will develop and optimize data pipelines, manage workflows, implement CI/CD processes, and collaborate with cross-functional teams to enhance the AI & Data platform.

The Senior Python Engineer will design and optimize data pipelines, manage workflows using Airflow, and deploy applications in Kubernetes, contributing to a core AI & Data platform and collaborating with cross-functional teams.

As a Big Data Platform Engineer, you will manage and optimize Cloudera Data Platform clusters, automate workflows, and collaborate with teams to enhance data operations.

As a Senior Data Engineer, you will design and implement scalable data solutions, develop automated pipelines, and support cloud transition using AWS and Snowflake.

The Senior Data Engineer will lead design and implementation of data flows, mentor a team, and drive data initiatives while ensuring effective data engineering practices.

The Qlik Sense Developer will create applications, manage data modeling, support internal users, and collaborate with teams focused on data visualization.