Top Data Engineer Jobs in Bursa

As a Data Engineer, build and manage data pipelines, ensure data quality, and support analytics for trading. Collaborate with teams to define data needs and best practices for infrastructure and applications.

As a Data Engineer at Zapier, you'll build scalable data systems, enhance product functionality through data, and collaborate with teams to improve data access and usability.

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.

Design and architect scalable backend services, develop robust governance systems, build SaaS solutions, and mentor junior engineers to enhance IoT platform capabilities.

The Data Engineer will build a creative intelligence pipeline, connecting ad data to ETL processes, enabling time-series queries, and documenting the setup for handoff.

As a Data Engineer, you'll maintain and configure the Snowflake data platform, design integration pipelines, and innovate with new tools. Your role supports data security and performance while collaborating across teams.

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 Engineer at Nansen, you will build and optimize systems for their customer-facing analytics product, collaborating closely with crypto researchers and engineers to tackle large-scale data challenges and ensure data quality and reliability.

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

The Principal Data Engineer will improve data pipeline architecture, optimize data flows, and support data projects for various teams in the company.

As a Senior Data Engineer, you will own the data engineering processes, analyze data using programming languages, and ensure data quality while collaborating across teams.

The Senior Data Engineer will focus on ingesting and curating satellite imagery and geospatial data, building data pipelines, and mentoring junior engineers, while ensuring performance and scalability.

The Senior Data Engineer will lead data architecture discussions, build reliable data pipelines, mentor team members, and ensure data quality across initiatives.

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

Design and implement scalable data pipelines and architectures for efficient data processing, while collaborating with cross-functional teams and mentoring junior engineers.

As a Senior Data Engineer, you will design and scale data systems, build ETL pipelines, ensure data quality, and collaborate with product, growth, and finance teams to support decision-making and analytics.

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 backend services, work on data pipelines, and ensure system reliability and performance in a multi-cloud environment.

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.

The Senior Software Engineer in Test will validate and automate the quality of data pipelines and ETL workflows, ensuring data integrity and performance in a cloud-native SaaS platform.

Lead validation and automation of data pipelines and ETL workflows, ensuring quality and reliability of data across cloud-native platforms. Collaborate with teams to implement automated testing and integrate quality checks into CI/CD pipelines.

Lead validation and automation of data pipelines and ETL workflows, ensuring data quality and performance across cloud-native platforms. Collaborate with teams to maintain automated test frameworks and quality gates.

Lead validation and automation of data pipelines and ETL workflows, ensuring data integrity and performance across cloud-native platforms. Collaborate with teams to design, build, and maintain test frameworks, while mentoring peers and enhancing best practices in data testing and automation.