Top Data Engineer Jobs in Istanbul

Design, build, and support features for developers, ensuring reliability and scalability of systems, and contributing to product direction.

As a Senior Product Engineer on the Data Insights team, you will design, build, and maintain features that help mobile developers grow their businesses, focusing on data-related solutions and product quality.

Lead the design and implementation of ETL pipelines and data solutions on the Snowflake platform, optimizing performance and ensuring data quality and insights for business decision-making.

The Senior Data Engineer will manage the data platform, support product development for developers, and engage with data systems using various technologies while collaborating in a remote environment.

Join Zencore as a Senior Data Engineer, leveraging Google Cloud expertise and technology strategies to assist clients with data and application modernization.

As a Senior Data Engineer, you'll develop and optimize data pipelines for a Consumer Data Lake, ensuring data accuracy and compliance with privacy regulations while collaborating with cross-functional teams.

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 lead data architecture discussions, build reliable data pipelines, mentor team members, and ensure data quality across initiatives.

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.

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

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 maintain data infrastructure, build pipelines for data collection, ensure data quality, and collaborate with stakeholders on data requirements.