Top Data Engineer Jobs in Bucharest

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

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 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 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.

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

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.

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.

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.

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.

Design, build, and maintain scalable ETL pipelines and data infrastructure using Spark and Kafka. Work with SQL/NoSQL databases, containerized deployments (Kubernetes), and collaborate with data scientists and engineers to ensure reliable, performant data flows and documentation.

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.

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

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.

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