Top Data Engineer Jobs in Bucharest

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 role involves building scalable cloud-based systems, developing core services, ensuring data security, and collaborating across teams at CrowdStrike.

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.

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.

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

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 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.

N-iX seeks a Data Engineer with MLOps experience to create scalable ML pipelines, deploy models, and contribute to best practices in data engineering and coding.

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.

As a Big Data Platform Engineer, you will manage and optimize Cloudera Data Platform clusters, automate workflows, and collaborate with teams to enhance data operations.

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.

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

As a Senior Data Engineer at Pennylane, you will model data, design ETL pipelines, and contribute to data governance and analytics platforms to support decision-making across the company.

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