Top Data Engineer Jobs in Bucharest

The Middle Data Engineer will migrate legacy SQL Server data to Snowflake, refactor ETL processes, and optimize data movement for analytics.

The Senior Data Engineer will create cloud-based data pipelines, optimize data ingestion, perform data analysis, and collaborate with teams to improve analytics products.

The Senior Data Engineer will design, build, and maintain DBT models, develop ETL pipelines, and ensure data quality for analytics initiatives.

The Senior Data Quality Engineer ensures data accuracy and reliability by analyzing quality issues, defining rules, and supporting data quality processes and governance.

The Data Quality Engineer ensures data accuracy and reliability, defines quality rules, supports data cleansing, and manages reference data.

The Data Engineer will enhance fraud prevention capabilities by developing data engineering pipelines for real-time and batch data processing. Responsibilities include collaborating with stakeholders to define pipeline requirements, designing and developing pipelines, and managing releases in production environments.

Designs and implements data engineering solutions, manages metadata structures, analyzes data for client needs, and ensures data quality in projects.

As a Data Engineer at Screenverse, you'll build ETL pipelines, ensure data quality, and contribute to data strategy in a collaborative environment.

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.

As a Middle Data Engineer, migrate SQL Server data warehouses to Snowflake, refactor ETL processes, build data pipelines, and ensure reliable data movement.

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.

As a Java Engineer, you'll lead a squad in managing static and reference data for Financial Markets, focusing on system architecture, performance, and code quality. Your role includes development, technical discussions, and collaboration in an agile environment.

As a Data Engineer, you'll design, develop, and implement high-performance data infrastructure and pipelines while communicating effectively with various stakeholders.

The role involves driving end-to-end testing activities, developing test plans, ensuring data quality, and collaborating with various teams to meet business requirements.

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 Data Engineer will design and maintain ETL pipelines, optimize data models, develop exporters, and ensure reliable data services for the Lambda app in a fast-paced startup environment.

As a Middle Data Engineer, you'll build and manage ELT/ETL pipelines using Snowflake and Airflow, ensuring data reliability while collaborating with BI teams and maintaining data integrity.

The Data Engineer will design and implement scalable data solutions on AWS, manage data pipelines, enforce data governance, and collaborate with teams to enhance processes while troubleshooting challenges.

As a Senior Data Engineer, you will design and scale data systems, build ETL pipelines, ensure data quality, and collaborate with product, growth, and finance teams to support decision-making and analytics.

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.

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

Lead the design and implementation of scalable cloud-based data pipelines and architectures, ensuring best practices, compliance, and data quality.

Build and optimize data pipelines and models, monitor cloud data warehouses, and maintain documentation while collaborating with teams.

Join Adobe's team to develop data architectures and SaaS solutions, focusing on scalability, performance, and mentoring within a collaborative environment.

As a Staff Engineer and Team Lead, you will architect scalable backend systems, mentor engineers, and ensure high-quality code for Alpaca's market data suite.