Top Data Engineer Jobs in Izmir

The Sr Cloud Data Engineer will lead data integration efforts, create and maintain data management standards, develop data pipelines using AWS services, manage complex data models, and present data insights to both technical and non-technical stakeholders. They will ensure data quality and facilitate collaboration among various departments.

As a Data Engineer at Vaayu, you will transform customer data into standardized formats, contribute to improving transformation pipelines, and assist the team with customer data inquiries. Your role will be crucial in supporting the mission of reducing environmental impact through effective data handling.

The Middle Python Engineer will develop, test, and support features related to iGaming solutions, engage in code reviews, and provide technical feedback to product management. Responsibilities also include maintaining automated tests and participating in on-call support.

The Data Engineer will develop databases and data pipelines, create end-to-end data solutions, and maintain scalable data solutions while collaborating with various stakeholders to ensure data security and project success.

The Sr. Course Development Engineer will create and improve technical courses on CodeSignal’s platform, mentor new team members, and collaborate to maintain high quality in course content.

The Research Engineer at Autodesk will lead engineering projects focused on data acquisition, processing, and experimentation to build ML-powered product features. This role involves organizing diverse datasets into unified formats suitable for machine learning while collaborating closely with researchers. Responsibilities include developing pipelines, conducting experiments, and ensuring data compliance.

The Principal Data Engineer will build data foundations for an AI-powered architecture design product, creating optimized data systems and robust data pipelines that support rapid experimentation and decision-making processes, and collaborating with cross-functional teams to meet data needs.

As a Research Engineer at Autodesk, you will build ML-powered product features and unify disparate data sources (text, images, 3D models). Your role involves developing scalable systems for data processing, conducting experiments, producing visualizations, and ensuring compliant data use while collaborating with AI researchers.

As a Senior Data Engineer for Petal Search, you will analyze data, build statistical models, create knowledge graphs, and implement data quality assurance mechanisms. You will collaborate with various teams to provide solutions for real-world problems and must have experience in data modeling and architecture with large datasets.

The Senior Big Data Engineer, Tech Lead will create ETL pipelines, optimize HiveQL queries, and analyze complex data. Responsibilities include delivering insights, resolving technical issues, process improvements, and conducting code reviews, while collaborating with a global team.

This position involves designing and implementing Big Data storage, processing, and analytics on Huawei’s public cloud. The developer will optimize module architecture, handle large data volumes, write technical documentation, guide a team on Bigdata Kernel projects, and resolve customer issues.

As a Senior Data Engineer on the Petal Search team, you will be responsible for data engineering tasks, utilizing coding for data analysis, building knowledge graphs, and implementing data quality assurance methods. Collaboration with various teams to address real-world problems is key, alongside a passion for continuous learning and improvement.

As a Data & AI Video Content Developer at DataCamp, you'll create engaging educational video content focused on data and AI for social media. Responsibilities include content prioritization, production, and post-production, collaborating with marketing and SEO teams to deliver high-quality materials. Strong communication and organizational skills are key, alongside a passion for data education.

As a Senior Data Engineer, you will enhance the online car market user experience by building and maintaining data pipelines, simplifying tools, and driving improvements while collaborating with a team of Senior Engineers and managers.

The Senior Data Ops Engineer will maintain data and database platforms, ensuring high data availability and performance. Responsibilities include managing data pipelines, collaborating with engineers, automating infrastructure with Terraform, and integrating Docker in CI/CD processes.

As a Senior Data Engineer, you will leverage your expertise in Google Cloud and associated technologies to help clients modernize their data processes. You will engage in building ELT and ETL pipelines, working with various databases, and offering strategic guidance within customer teams.

As a Lead Data Engineer, you will shape the future of online car markets, leading complex data projects, organizing teams, and designing new data solutions while working closely with engineers and management in a collaborative environment.