Top Data Engineer Jobs in Romania

The Data Engineer is responsible for designing and maintaining data pipelines, ensuring data integrity, and collaborating with cross-functional teams to build scalable data solutions.

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.

Develop and deploy big data anti-fraud detection solutions using Python and PySpark, collaborate with team members, and ensure software reliability.

The role involves managing RDF data models, developing SPARQL queries, maintaining data workflows, and collaborating with backend engineers for semantic integration.

Design, develop, and maintain Azure Data Lake and Databricks data pipelines; implement ML models in Python/R/Scala; build Power BI reports; ensure data governance, security, and scalable architectures; collaborate with stakeholders and present analytics to non-technical audiences.

As a Data Engineer, you will design, build, and maintain data pipelines and infrastructure, collaborating with cross-functional teams to ensure efficient data processing and availability.

The Data Engineer will build and maintain data pipelines, ensure data quality, and support advanced analytics with a focus on AI-driven use cases.

The Data Engineer will design and maintain scalable data solutions in BigQuery, optimize performance, implement data quality checks, and collaborate with stakeholders to meet business requirements.

The Data Engineer will design, migrate, and optimize cloud data solutions, build pipelines, support data architecture, and collaborate with teams on data needs.

The Cloud Data Engineer will evolve the data platform with a data mesh architecture, build data products, maintain AWS data lakes, and optimize ETL/ELT pipelines for real-time analytics.

The Cloud Data Engineer will design a data mesh architecture, build data products, optimize ETL pipelines using AWS Glue and PySpark, and collaborate on data solutions.

The Data Engineer designs, implements, and monitors security controls for cloud and on-premises infrastructure, ensuring resilience against cyber threats and compliance with regulations while collaborating with teams.

The Data Scientist will work on data analysis, applying machine learning and generative AI to extract insights from diverse data sources in predictive maintenance and digital twins.

As a Data Engineer, you'll design and maintain ETL pipelines, write TypeScript code, and collaborate with stakeholders to ensure data quality and performance.

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, you will build and maintain data pipelines, support analytics, and ensure data quality while collaborating with cross-functional teams.

Work as a Data Engineer on designing and building data pipelines, collaborating with team members to improve decision-making for the Wholesale Bank's analytics needs.

Design, build, and maintain scalable GCP data pipelines and ETL/reverse ETL processes using Dataflow, Dataform, and BigQuery. Develop secure APIs for ingestion, optimize data models and Datastream integrations, implement monitoring, and ensure GDPR/CCPA-compliant data governance for player analytics and fraud detection.

As a Data Engineer, you will design and manage scalable data pipelines, process various data types, collaborate with Data Scientists, and contribute to team knowledge-sharing.

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

The Data Engineer will design, build, and maintain data systems and pipelines for analytics and business decisions, ensuring data usability.

The Senior Data Analyst will optimize fleet utilization and operational efficiency by building ETL pipelines and analytical dashboards, managing data platforms, and partnering with stakeholders.

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.