Top Data Engineer Jobs in Turkey

As a Distinguished Data Engineer at Capital One, you'll drive adoption of technology, collaborate on data challenges, mentor talent, and influence stakeholders.

As a Data Engineer, you will manage the data warehouse and ELT pipelines for blockchain analytics, ensuring data accuracy and quality for product development and business growth.

As a Data Engineer at Circle, you'll manage data pipelines for blockchain analytics, ensuring data accuracy and quality to support business functions. Responsibilities include building ELT pipelines, designing data models, and improving warehouse operations.

As a Data Engineer, you'll manage data warehousing and pipelines for blockchain analytics, ensuring data accuracy and supporting business functions. You'll collaborate with teams to improve operations and leverage AI for efficiency.

As a Data Engineer, you'll design data collection infrastructure, work with large datasets, troubleshoot issues, and build visualizations using BI tools.

The Data Engineer Co-op will work on web data feeds, utilize AI technologies and frameworks, and develop data pipelines.

The Data Engineer will architect and deploy Big Data environments, manage data pipelines, and ensure data integrity across the organization.

The Senior Supply Chain Master Data Engineer is responsible for maintaining the accuracy of supply chain data, implementing data governance, data audits, and collaborating with teams to improve data quality for analytics and reporting.

The Data Integration Engineer will build and support data integrations, ensure timely and validated data delivery, and troubleshoot issues in a fast-paced environment.

As a Data Engineer Intern, you will define metrics, model and transform data, ensure data quality, and support data strategy. You'll collaborate with product teams and work on various data engineering tasks to improve product experience and efficiency.

The Senior Data Engineer will create scalable data pipelines and manage unstructured data for AI/ML workflows, ensuring data quality and supporting data solutions. Collaboration with cross-functional teams to meet business and security objectives is key.

The Data Engineer III will design and implement AI-driven solutions, develop ontologies, lead projects, and mentor team members.

The internship involves designing tools and frameworks using Python and SQL, analyzing data, and collaborating with data scientists. Interns will receive mentorship and corporate training.

The Python-ETL Data Developer will assist in onboarding client data into MySQL, support Snowflake offerings, and improve documentation. Key skills include Python and database experience.

The Data Engineer II will design and build scalable data platforms, manage data pipelines, and ensure data quality while mentoring the team.

As a Lead Data Engineer, you will design and implement full-stack technical solutions, mentor team members, and work with data in cloud environments.

As a Lead Data Engineer at Capital One, you'll collaborate with Agile teams, develop technical solutions, and utilize various programming and big data technologies to drive transformation in the company.

We're seeking a Data Engineer with 5+ years of experience to build data processing solutions using Python, design data models, and process large data streams while ensuring high performance across various data technologies.

The Data Engineer will automate compliance and finance regulatory processes, create scalable solutions, and guide technical development within the team.

Design and build scalable data solutions, develop real-time data pipelines, maintain ETL processes, and promote effective development methodologies.

As a Snowflake Data Engineer, you'll design, build, and maintain data infrastructure using Snowflake, focusing on governance, quality, and performance optimization. You'll collaborate with stakeholders to operationalize data use cases and implement key data strategies.

The Staff Data Engineer will design and optimize data pipelines, collaborate with stakeholders, mentor team members, and lead architectural decisions in data infrastructure.

Lead projects, design cloud-native data pipelines, manage technical debt, enhance data warehouse, and mentor team while supporting AI and business insights.

Develop and productionize a next-gen Dispatch System, build predictive models, automate processes, and lead a small team in optimizing operations.

As a Data Engineer, you will design and build data pipelines, ensuring data accuracy and developing data solutions that meet business requirements.