Top Data Engineer Jobs in Turkey

As a Lead Data Engineer, you'll design and implement technical solutions while mentoring team members, working with agile teams, and utilizing big data technologies.

As a Data Engineer II, you will build and maintain ETL pipelines, analyze requirements, and mentor junior colleagues while supporting customer implementations.

The IT Data Engineer will design and implement ETL pipelines, modernize data workflows, support analytics, and collaborate with teams on data needs.

The Data Engineer will develop ETL/ELT pipelines, transform raw data, create data models, ensure data quality, and collaborate with finance teams.

As a Data Engineer, you will design and maintain data pipelines, transform raw sources into clean, reliable data streams and tackle technical challenges.

As an Azure Data Engineer, you'll design and maintain data solutions on Azure, collaborate with teams, optimize ETL/ELT processes, and ensure data governance.

The Senior Data Analytics Engineer will design and build analytics solutions, analyze requirements, deliver insights, and ensure systems meet business goals using agile methodologies.

The Data Architect/Infrastructure Engineer will design, deploy, and maintain Neo4j infrastructure, ensuring performance and availability for production workloads while collaborating with developers on optimization and management of data warehouses.

The Data Engineer will design, build and maintain scalable ETL pipelines and data integrations, ensuring data governance and operational excellence while collaborating with cross-functional teams.

Develop and maintain ETL pipelines, ensure data integration, collaborate with teams, and optimize data workflows for efficiency.

The Data Engineer will build and operationalize data solutions, analyze data sources, and collaborate with teams to ensure data quality and governance.

As a Data Engineer, you will develop ETL processes, work with databases and cloud-based solutions, and support machine learning models and analytics, collaborating with data scientists for data preparation.

Responsible for building and modernizing data science tools and assets, writing analytics software, and guiding data scientists in best practices.

The Data Engineer will design and manage data pipelines, develop datasets for product metrics, and collaborate with teams to ensure robust data integration and processing.

Seeking a Data Engineer to design and maintain ETL pipelines on AWS, ensuring data quality and supporting analytics across the organization.

As a Data Engineer at Rhythm360, you will optimize ETL workflows, develop data models, ensure data quality, and collaborate with teams to drive insights in healthcare.

As a Staff Data Engineer, you'll architect and model data, create ETL pipelines, and standardize datasets for compliance teams. You'll guide best practices and lead data solutions while collaborating with various stakeholders.

The Octopart Application Engineer will analyze data, create dashboards, and provide insights for sales and marketing performance, improving decision-making and revenue growth.

Responsible for building scalable data pipelines, transforming data using Python and SQL, and collaborating with teams to ensure data quality and successful analytics solutions.

The Data Engineer will design and implement data solutions for the Defense Intelligence Agency, enhancing data management and decision-making processes, while engaging in AI/ML initiatives and managing data pipelines across classified networks.

As a Business Intelligence/Data Engineer, you will analyze data structures, implement data warehousing solutions, and design data visualizations while working with AI/ML services in cloud environments.

Design and implement scalable data pipelines on AWS, focusing on ETL/ELT processes, data infrastructure, and collaboration with business teams.

As a Data Engineer at Thatch, you'll develop data infrastructure, build ELT pipelines, and collaborate across teams to provide analytics insights.

The Senior Data Engineer will build and maintain data pipelines, work with cross-functional teams, and optimize performance using various data processing tools.

As a Data Scientist, collaborate with global teams to develop and deploy data solutions, analyze complex datasets, and apply machine learning techniques to enhance drug development processes.