Top Data Engineer Jobs in Romania

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

Design, develop, and maintain microservices for data ingestion, focusing on scalability and reliability using Java and various big data technologies.

Lead robotics programming solutions and design automation processes to enhance manufacturing efficiencies, translating business needs into technical specifications while collaborating with cross-functional teams.

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

The Senior Data Engineer will design and develop data pipelines, ensure data quality, optimize ETL processes, and oversee the full data lifecycle documentation for a market intelligence platform.

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.

Seeking a skilled Data Engineer to design, develop, and deploy ML solutions with expertise in Python, Databricks, Snowflake, and AWS, focusing on supply chain management.

Seeking a Senior Data Support Engineer with 5-6 years of experience in Data Engineering, specifically utilizing Snowflake, Python, SQL, and AWS for data manipulation, warehousing, and testing processes.

As a Data Platform Engineer, you will design and implement scalable data platform infrastructure, build CI/CD pipelines, and collaborate with teams to optimize data architecture.

The role involves driving AI tooling adoption, developing AI agents, embedding in Scrum teams, and optimizing AI's impact on engineering productivity.

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.

As a Big Data Platform Engineer, you'll manage and optimize Cloudera Data Platform clusters, ensuring performance and scalability for ING Wholesale Banking's data infrastructure, while automating operations and supporting collaboration across data engineering teams.

The Data Engineer will design and maintain data pipelines, optimize ETL processes, ensure data quality, and collaborate in an agile environment.

Join the data infrastructure team as an ETL/Data Pipeline Specialist, monitoring data flows, building scrapers, and optimizing ETL architectures, working overnight.

The Senior Data Engineer will build and optimize data pipelines, collaborate with engineering teams, and ensure data quality and scalability.

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

As a Senior Data Engineer, you will design and maintain ML applications, manage workflows, build data pipelines, and mentor junior engineers within a global team.

Design and maintain data infrastructure, build pipelines for data collection, ensure data quality, and collaborate with stakeholders on data requirements.