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.

Design and maintain scalable data warehouse solutions, optimize performance, and implement data quality checks in a collaborative environment.

The Data Engineer will design and maintain data pipelines and infrastructure, automate data ingestion, and collaborate with teams for data processing and governance.

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.

Design, build, and maintain data pipelines and infrastructure. Collaborate with teams to process large-scale data efficiently, ensuring integrity and availability.

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.

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

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.

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.

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.

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.

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

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

The DataOps Engineer will build a modern data platform focusing on infrastructure, automation, and observability, collaborating with data engineers to ensure reliable data systems.

Responsible for application lifecycle management, ensuring compliance, project management, and technical performance monitoring in an Agile-Scrum environment, while engaging stakeholders.

As a Data Engineer, you will design and build data pipelines and backend services, focusing on ETL processes and workflow orchestration for ML models.

The Senior Data Engineer will design and optimize data pipelines, focusing on ETL, data modeling, BI integration, and automation using Python and Apache Airflow, while utilizing Azure DevOps for CI/CD.