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.

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 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 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.

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.

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

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.

Design and maintain scalable data engineering and ETL pipelines for machine learning in banking, collaborating with teams to ensure data quality and availability.

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.

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

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

Lead the design, development, and deployment of AI-driven products, manage a team of developers, and collaborate with cross-functional teams.

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

The Senior Data Engineer designs and builds large-scale data pipelines, ensuring performance and integration. Responsibilities include data architecture, real-time analytics, and mentoring.

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.