Top Data Engineer Jobs in Turkey

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 Backend & Data Engineer will maintain and develop backend features, manage data pipelines, ensure data consistency, and work closely with product and analytics teams.

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.

As a Data Engineer, you will build and maintain scalable data pipelines, transforming raw data into actionable insights while ensuring data reliability.

Design, build, and optimize scalable data platforms using Azure and Databricks. Responsible for developing ETL/ELT pipelines, maintaining data quality, and collaborating with analytics teams.

As a Data Engineer, you will build and maintain data pipelines, ensure data quality, and collaborate with teams to design data models.

As a Junior Data Engineer, you will build and enhance data processing pipelines, support data scientists, and ensure data quality and reliability.

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.

As a Data Engineer, design scalable data pipelines, implement CI/CD practices, and collaborate with data science teams to enhance data governance and analytics systems.

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

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

The role involves scraping, cleaning, and maintaining datasets focused on global wealth migration, producing annual reports, and creating visualizations.

As a Backend Engineer (Data Engineering), design and build scalable data pipelines and infrastructure for processing security data, ensuring reliability and performance.

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

The Forward Deployed Software Engineer will implement and optimize client deployments, troubleshoot issues, and develop integrations, serving as the primary technical contact for customers.

Develop machine learning models to meet business objectives, collaborate with experts, document techniques, and visualize large datasets.

The Software & Big Data Engineer will design, develop, and validate automation solutions for mobile networks, interfacing with external systems and supporting product customization and deployment.

The Backend Software Engineer will design and maintain high-throughput backend systems, optimize performance, and collaborate across teams to ensure reliability.

The Data Platform Engineer will design and build scalable data systems, integrate AI models, and create reliable Data APIs to enhance operational efficiency and scalability.

The Senior DevOps Engineer will build and maintain backend infrastructure for AI data pipelines, support model training and production, and develop monitoring systems.

End-to-end delivery of ML-powered services, involving research, prototyping, production, and operations. Collaborate on product requirements while maintaining high quality and operational excellence.

The Senior Software Engineer will develop and scale backend services, manage data pipelines, and ensure system reliability across multi-cloud environments.

The Senior Software Engineer will design and build scalable backend services, improve data pipelines, and ensure system reliability and performance.

The Senior Software Engineer will design and build scalable backend services, integrate data pipelines, and ensure reliability and performance in a multi-cloud environment.