Top Data Engineer Jobs in Bucharest

As a Senior Software Engineer at CrowdStrike, you'll build scalable cloud systems with a focus on microservices architecture while collaborating on data platform components and enhancing security services.

As a Sr. Software Backend Engineer, you will design and build scalable cloud-based systems, leveraging various technologies while collaborating across teams to enhance security services.

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 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.

Collaborate in a team to develop and deploy big data anti-fraud solutions using PySpark and Python, ensuring code quality and maintainability.

The Data Engineer will migrate, optimize, and enrich customers' databases using cloud services while supporting solutions architects and data scientists.

The Data Engineer role involves creating data pipelines, conducting ETL activities, and transforming data in Azure Synapse and Azure Data Factory. Responsibilities include data ingestion from various sources and orchestrating ETL processes.

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.

The Python Data Engineer is responsible for designing and managing data pipelines using cloud technologies, processing large-scale data, and collaborating with Data Scientists. Key responsibilities include ETL/ELT development and data architecture.

The role involves designing and developing software solutions for data reporting and automation, collaborating with teams to enhance efficiency and accuracy.

As a Software Engineer in Reporting, Statistics, and Automation, you will design and develop software for enhancing data reporting, statistical analysis, and process automation, working on scalable solutions and collaborating with cross-functional teams.

Design and maintain scalable data warehouse solutions in BigQuery, build data pipelines, implement data quality checks, and collaborate with analysts.

The Junior Data Engineer will analyze data, design experiments, build a marketing data stack, and collaborate with teams to improve data access and insights.

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.

The Data Engineer will enhance, test, and implement applications, support IT operations, and collaborate with stakeholders to ensure delivery of robust solutions.

The Senior Software Engineer will develop big data applications, focusing on accumulation monitoring in the (re-)insurance industry. Responsibilities include designing a Spark calculation engine, data modeling, and enabling BI reporting. Requires teamwork and code review participation.

As a Senior Data Engineer, you will design, develop, and optimize data pipelines in a cloud-first environment, ensuring data quality and system resilience, while collaborating with cross-functional teams.

The role involves driving AI tooling adoption, developing AI agents, embedding in Scrum teams, and optimizing AI's impact on engineering productivity.

Design, build, and optimize scalable BigQuery data warehouse solutions and pipelines on GCP. Migrate on-prem systems to cloud, implement data quality checks, and collaborate with product owners and analysts to meet reporting and analytics requirements.

The Senior Data Engineer will design, build, and maintain ETL pipelines and data infrastructure, ensuring efficient data flow and collaborating with data scientists and analysts.

Lead and deliver end-to-end data science projects: collect and preprocess data, build and deploy predictive models and recommender systems, apply statistical and machine learning techniques, collaborate with cross-functional teams, present results to stakeholders, and evaluate new tools and methodologies to drive business impact in a cloud-based environment.

As a Big Data Platform Engineer, you'll manage and optimize Cloudera Data Platform clusters, ensuring performance and scalability for ING Wholesale Banking's data infrastructure, while automating operations and supporting collaboration across data engineering teams.

The Senior IT Business Analyst is responsible for identifying business requirements, creating functional specifications, and designing business processes in complex project environments while collaborating with stakeholders.

Develop and maintain the KDB data platform, focusing on code quality, automated testing, and understanding KDB architecture, while collaborating with cross-border teams.

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.