Top Data Engineer Jobs in Turkey

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

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 Developer, you will design data systems, manage data pipelines, optimize data processes, and collaborate on data needs for business insights.

The role focuses on designing and developing AI-driven cloud-native solutions, implementing microservices, and working with various advanced data technologies and practices.

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 Cloud Data Engineer is responsible for designing and optimizing data models, developing cloud data solutions using Snowflake, and collaborating with application development teams to implement data strategies.

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.

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

The role involves designing and developing backend services for a data platform, contributing to APIs and front-end components, ensuring scalability and reliability, and participating in CI/CD pipeline management.

The Principal Engineer in Data Infrastructure will oversee database and data warehousing infrastructure, optimize performance, and integrate new technologies while supporting data analysis and engineering efforts.

As a Senior Data Engineer, you'll build and manage data pipelines, ensure data quality, and collaborate across teams, contributing to the Data Platform's growth.

Manage and optimize data analytics and low-code platforms, oversee configurations, enforce governance, and support cross-functional teams in using Power BI and Power Apps.

As a Backend Engineer, you'll build and scale the infrastructure of an AI-driven video platform, focusing on backend features, API design, and system architecture, while collaborating closely with the team for continuous improvement.

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.

Design and maintain data pipelines, collaborate with stakeholders, ensure data quality, deploy infrastructure as code, and optimize reporting solutions.

The Software Engineer will manage data collection for model training, optimize cloud infrastructure, and collaborate on the dataset roadmap for AI products.

Perform installation and management of UNIX/Linux systems, troubleshoot related issues, and optimize systems with custom scripts and automation tools. Collaborate on infrastructure projects and enhance system efficiencies.

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.

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

As a Senior Data Engineer, design and maintain scalable data pipelines, optimize infrastructure, and ensure data governance for real-time ML models.

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