Top Data Engineer Jobs in Berlin

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.

Design and build ETL pipelines and self-service data tools using modern cloud technologies, while collaborating with stakeholders to deliver data solutions.

Develop and maintain scalable data infrastructure and ETL pipelines, support machine learning applications, ensure data quality, and collaborate on data models.

As a Data Engineer at Helsing, you will lead and automate data acquisition and labeling processes for AI development, support data preparation pipelines, and collaborate with engineering teams.

As a Data Engineer, you will design data pipelines, implement storage solutions, refine data warehouse systems, and analyze infrastructure performance.

As a Data Engineer at Zapier, you'll build scalable data systems, enhance product functionality through data, and collaborate with teams to improve data access and usability.

As a Data Engineer, you will design and implement data pipelines, improve ETL processes, and ensure high performance of data infrastructure, while collaborating with clients to meet their goals.

As a Data Engineer, you will manage data ingestion workflows from Postgres to BigQuery, maintain data infrastructure, and contribute to data engineering pipelines while applying best practices.

Join the Foundation Model Training team to develop and manage large-scale data pipelines for AI-driven language products, ensuring data quality and processing. Collaborate with research scientists to improve model training outcomes.

As a Data Engineer at Screenverse, you'll build ETL pipelines, ensure data quality, and contribute to data strategy in a collaborative environment.

As a Principal Database Engineer, you will architect scalable PostgreSQL solutions, ensuring data reliability, performance, and collaborating with teams to build a robust data platform for GitLab's growth.

As a Middle Data Engineer, migrate SQL Server data warehouses to Snowflake, refactor ETL processes, build data pipelines, and ensure reliable data movement.

As a Data Engineer, you'll design, develop, and implement high-performance data infrastructure and pipelines while communicating effectively with various stakeholders.

The Python Data Engineer will design and implement data pipelines, build integrations, develop APIs, ensure CI/CD compliance, and mentor team members.

Design and develop ETL data pipelines while improving data infrastructure and ensuring data quality using various technologies and tools.

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

The Senior Data Engineer will design and maintain scalable data pipelines and architectures, ensuring data accuracy while mentoring others in modern practices. Responsibilities include project ownership, collaboration, and staying updated with industry trends.

The Senior Data Engineer will build and maintain data pipelines, ensure system reliability, and collaborate with various stakeholders to deliver data solutions that empower the business.

Design, build, and optimize data pipelines and infrastructure for analytics and reporting. Collaborate with stakeholders, ensure data quality, and document processes.

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 Senior Data Engineer, you'll design and maintain scalable data pipelines, work on data architecture, and ensure data quality while collaborating across teams to support data-driven initiatives.

As a Lead Data Platform Engineer, you'll design data models, implement documentation solutions, and build backend services to enable teams to confidently utilize data for AI-driven products.

The Senior Data Engineer will design and implement scalable data solutions, develop ELT pipelines, optimize performance, and collaborate with teams to enhance data systems at Zendesk.

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.