Top Data Engineer Jobs in Romania

As a Senior Data Engineer, you'll analyze data integrity issues, optimize backend services, facilitate client communication, and mentor other engineers while engaging in agile development processes.

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.

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

Develop ETL flows, analyze data, design physical models, manage databases, deploy code, perform tests, and collaborate in an Agile environment.

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

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

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.

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.

Provide technical support and guidance to telecom customers, querying databases to resolve issues, and ensuring customer satisfaction through analysis of network KPIs and system troubleshooting.

The role involves creating and automating infrastructure features for data platforms using Python, with a focus on distributed systems and collaboration within a global team.

The role involves automating OpenSearch operations by developing features in Python, collaborating with an international team, and providing expertise on data platforms.

As a Software Engineer on the data platform team, you'll automate data platform operations, write Python code, and collaborate on solutions within a distributed team.

The Lead Mechanical Engineer will design HVAC systems for data centers, conduct airflow analysis, and ensure system reliability and energy efficiency, collaborating with other engineers and stakeholders.

The role involves developing and managing data ingestion pipelines, collaborating with AI scientists, and ensuring data processing efficiency.

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

The Data Operations Developer builds dashboards for business analysis and reporting, optimizes data processes, and collaborates with teams to deliver BI solutions.

Join Zencore as a Senior Data Engineer, leveraging Google Cloud expertise and technology strategies to assist clients with data and application modernization.

The Senior Data Science Engineer will develop and deploy machine learning solutions focused on demand forecasting and optimization for a fleet management platform, ensuring reliability and impact, while working with various stakeholders.

As a Senior Data Engineer, you will architect scalable data solutions, develop ETL pipelines with cloud technologies, ensure compliance, and mentor junior engineers while enhancing cybersecurity capabilities.

Design, develop, and maintain data models and transformation pipelines using Snowflake and DBT. Collaborate with teams to deliver high-quality data solutions, troubleshoot issues, and implement best practices.

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

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.

The Data Engineer will enhance, test, and implement applications, support IT operations, and collaborate with stakeholders to ensure delivery of robust solutions.