Top Data Engineer Jobs in Ankara

As a Data Engineer, build and manage data pipelines, ensure data quality, and support analytics for trading. Collaborate with teams to define data needs and best practices for infrastructure and applications.

Develop new features, review database changes, document best practices, and improve product performance in backend engineering focusing on data frameworks.

Join our team as a Junior Data Engineer to build ETL pipelines, develop SparkSQL queries, and support data analysis initiatives.

Design and architect scalable backend services, develop robust governance systems, build SaaS solutions, and mentor junior engineers to enhance IoT platform capabilities.

As a Data Engineer, you'll maintain and configure the Snowflake data platform, design integration pipelines, and innovate with new tools. Your role supports data security and performance while collaborating across teams.

The Junior Data Engineer will analyze data, design experiments, build a marketing data stack, and collaborate with teams to improve data access and insights.

As a Data Engineer at Nansen, you will build and optimize systems for their customer-facing analytics product, collaborating closely with crypto researchers and engineers to tackle large-scale data challenges and ensure data quality and reliability.

The Mid-Senior Big Data Engineer will develop scalable solutions, design ETL pipelines, and support customers using Big Data technologies while collaborating with Solution Architects.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

The Principal Data Engineer will improve data pipeline architecture, optimize data flows, and support data projects for various teams in the company.

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.

The Blockchain Data Solutions Engineer role involves working with the Sales team to understand customer needs, translating business cases into data solutions, and guiding customers on querying and integrating onchain data using Dune's products.

The role involves developing machine learning algorithms for financial applications, collaborating with experts, building data pipelines, and communicating insights. Requires deployment of end-to-end data science solutions, especially in pricing optimization and forecasting within Azure cloud infrastructure.

The role involves collaborating on machine learning algorithms for pricing optimization, building data pipelines, and communicating insights. Experience with financial data science is essential.

The Sr Data Engineer will enhance the DoiT Cloud Intelligence product, optimize big data warehouses, and collaborate with cross-functional teams to improve data models and systems.

As a Sr Data Engineer, you will improve data warehouse performance, collaborate on data models, and design monitoring tools.

The Sr Data Engineer will analyze and optimize big data warehouses, improve data models and pipelines, and design monitoring tools.