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 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.

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

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

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.

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

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

Design, build, and maintain ETL pipelines, data warehouses, and data models; integrate and monitor data sources; ensure data quality and lineage; collaborate with Data & Analytics stakeholders and provide documentation and training.

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.

Design data schemas, manage data sources, and control data flows across the Data Warehouse. Collaborate for efficient data management and support with data-driven insights.

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

The Technical Product Manager will design and maintain BI solutions, manage product roadmaps, collaborate with stakeholders, perform data analysis, and support end-users.

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 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.

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.

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 backend systems, solve technical challenges, optimize performance metrics, and communicate complex ideas effectively across teams.

The Senior Data Engineer will design scalable systems, automate ML operations, optimize performance, and enhance infrastructure for data processing and monitoring.

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

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