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.

The Data Engineer will develop ETL pipelines, analyze data issues, optimize queries in a big data ecosystem, and present insights to stakeholders.

The Data Engineer will migrate legacy data pipelines into the Snowflake and dbt environments, developing Python-based ETL flows and collaborating with cross-functional teams to ensure a scalable data platform.

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.

The Middle Data Engineer will monitor and manage data pipelines, troubleshoot ETL/ELT failures, optimize queries in BI tools, and address data quality issues.

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 Data Engineer will build and maintain data infrastructure, manage ETL platforms, ensure data quality, and mentor DevOps teams while collaborating cross-functionally.

As a Senior Research Engineer, you will manage data lifecycle for researchers, build a human-centric data lake, and enhance model performance through high-quality datasets in an AI-driven environment.

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

Develop and implement Big Data solutions, support architecture development, utilize Data Visualization tools, and maintain ETL/ELT pipelines while ensuring high-quality customer service.

The role involves creating and automating infrastructure features for data platforms using Python, with a focus on distributed systems and collaboration within a global team.

The role involves automating OpenSearch operations by developing features in Python, collaborating with an international team, and providing expertise on data platforms.

As a Software Engineer on the data platform team, you'll automate data platform operations, write Python code, and collaborate on solutions within a distributed team.

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

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.

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

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.

Lead the development of data ingestion and processing pipelines, collaborating with teams to enhance data infrastructure for inventory decision-making in retail.

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.

Automate and maintain the ClickHouse cluster infrastructure, enhance performance, and utilize various tools for dynamic provisioning.

As a Senior Data Engineer, you will design and maintain data pipelines, ensure data quality, and collaborate with teams to harmonize customer data across systems.

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.