Top Data Engineer Jobs in Romania

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 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.

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.

Lead and mentor a team of data engineers, provide technical guidance, architect data solutions on AWS, and optimize data pipelines.

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

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.

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 Data Engineer will design, build, and maintain data systems and pipelines for analytics and business decisions, ensuring data usability.

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

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.

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

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

The Data Engineer will design, maintain, and scale ETL pipelines for blockchain data, optimize data models, and ensure timely delivery of features in alignment with product goals.

The Senior Data Engineer designs, maintains, and optimizes ML applications and data pipelines, ensuring compliance and quality while mentoring junior engineers.

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 Data Engineer will lead design and implementation of data flows, mentor a team, and drive data initiatives while ensuring effective data engineering practices.

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.

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