Top Data Engineer Jobs in Romania

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

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.

As a Data Engineer, you will work on designing and maintaining ETL pipelines, support data scientists, ensure data quality, and collaborate closely with teams to enhance data processing workflows.

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

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

Design, build, and own scalable ETL/ELT data pipelines (Snowflake, Dagster, dbt). Migrate legacy Django/Celery pipelines, ensure data quality, observability, and collaborate with Product, Analytics, and Data Science.

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.

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 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.

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 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 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.

The Junior Data Engineer will analyze data, design experiments, build a marketing data stack, and collaborate with teams to improve data access and insights.

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

Join Speechify as a Software Engineer focusing on data ingestion and cloud infrastructure for model training. Responsibilities include sourcing audio data and collaborating with the AI team.

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.

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.

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.

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