Top Data Engineer Jobs in Bucharest

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

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.

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.

Design and architect scalable backend services, develop robust governance systems, build SaaS solutions, and mentor junior engineers to enhance IoT platform capabilities.

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

Analyze encrypted raw network data and extract metadata, build analysis pipelines, and develop a Blockchain analytics product.

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.

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

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 Senior Data Engineer, you will develop ETL flows, analyze data, design models, manage data using Oracle Exadata, and collaborate with various teams while adhering to quality and performance standards.

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

The AWS Data Engineer will design and optimize cloud databases and data flows, ensuring data security and compliance, while utilizing AI/ML algorithms.

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.

The role involves developing and delivering training materials, creating multimedia content, and collaborating with staff to meet training needs while managing engineering data processes.

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

As a Senior Data Engineer, you will design and build data pipelines, collaborate with teams, and support data transformation initiatives.

Design, build, deploy, and maintain end-to-end data science solutions for corporate banking use cases. Execute the full ML lifecycle from data acquisition and feature engineering to model development, production deployment, evaluation, and stakeholder communication. Collaborate with product, engineering, and business teams and explore emerging ML technologies to drive measurable business impact.

The Senior Python Data Engineer will develop strategies for data acquisition, operationalize file parsers, architect data models, and create visualizations using various tools.

The Senior ML Data Engineer will enhance data workflows, collaborate with teams to build datasets, influence data strategies, and implement pipelines for effective data usage in AI/ML products.

The Lead Data Engineer will design and implement scalable data solutions for the Post Trade Division, focusing on AWS and Snowflake while managing stakeholders across various locations.

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.