Top Data Engineer Jobs in Turkey

The Data Engineer II will design and optimize data pipelines, support diverse data use cases, mentor junior engineers, and improve deployment processes.

The Data Engineer designs, develops, and maintains data architecture and pipelines, collaborates with teams to generate insights, and leads the implementation of analytics tools to optimize productivity.

Seeking a Data Engineer to design, build, and maintain data pipelines using Python, AWS, Databricks, and SQL, ensuring data reliability.

The Data Analytics Developer will design and optimize data pipelines, ensure data quality, and collaborate with cross-functional teams to support decision-making through effective reporting.

As a Data Engineer, you will build and maintain data pipelines, collaborate on data modeling, and automate data processes for the Games team at Netflix.

The Data Engineer will build scalable privacy-centric data frameworks, engineer data pipelines, and ensure compliance with privacy regulations at Netflix.

The Data Engineer will architect and expand data products for Netflix's Ads business, developing data pipelines, collaborating with analysts, and ensuring data quality.

The Data Engineer III will design, develop, and support data solutions using Azure technologies while analyzing and optimizing data processes.

The Data Engineer II will design, build, and maintain data architecture and systems, ensuring efficient data processing and storage, while collaborating with stakeholders for analytics needs.

Lead the design and development of cloud-native big data solutions for generative AI. Collaborate with teams to innovate and implement data pipelines.

The Junior Data Engineer will develop ETL processes, maintain data pipelines, and support data analytics needs while collaborating with team members.

The Data Engineer will manage data ingestion in Salesforce, standardize lead data, ensure data quality, and optimize integration workflows.

As a Data Engineer, you will work with clients to understand data distribution needs, build extracts and optimize scripts, while fostering a collaborative team culture.

As a Principal Data Engineer, you will design and optimize data architecture, manage data pipelines, collaborate with teams, and ensure compliance with data privacy regulations while delivering scalable solutions.

The Data Engineer will design and manage data infrastructures, implement quality monitoring systems, collaborate across teams, and build dashboards to support business analytics.

The candidate will improve the data ETL pipeline, build analytical tools, manage operations, and expand into new markets and asset classes.

Build the data platform from scratch, architect data systems, analyze user engagement, optimize financial performance, and execute experiments.

The Senior Data Engineer will design and implement technical solutions, engage with Agile teams, utilize big data technologies, and mentor team members while driving innovation within the company.

As a Data Engineer II, you will build and operationalize complex data solutions, perform data analysis, and collaborate across teams to enhance analytics capabilities.

As a Data Engineer, you will design and implement data platform capabilities, support compliance, and ensure secure data consumption while mentoring clients and improving data pipelines.

The Senior Data Engineer role involves designing scalable data pipelines, developing workflows using Databricks, and integrating with Azure DevOps for CI/CD. Collaboration with data stakeholders and optimization of data processes are key responsibilities.

The Data Engineer will create scalable analytics solutions, manage data integrations, report on marketing performance, and develop pipelines using various technologies.

Lead Data Engineers at Capital One will design, develop, and support data solutions, collaborating with Agile teams and utilizing various technologies.

The Senior Data Engineer will develop and maintain data pipelines, collaborate with Analysts, and ensure high code and data quality on the Hungryroot Analytics model.

Lead the design and execution of data governance strategies, manage projects, ensure data integrity, and drive compliance and automation initiatives.