Top Data Engineer Jobs in Germany

As a Data Engineer at RAPP, you will evaluate business needs, design and support data warehouse components, conduct data analysis, build algorithms, optimize data infrastructure, and collaborate with stakeholders. Your role involves creating and maintaining efficient, scalable data pipelines while ensuring data quality and performance.

As a Data Engineer at Vay, you'll develop and maintain ETL pipelines and APIs, manage cloud infrastructure, and ensure data integrity. You will collaborate with teams to improve the reliability and performance of the data platform, utilizing tools like AWS, Snowflake, and various data formats.

The Senior Data Engineer will develop scalable cloud-based data solutions, including data ingestion and processing in AWS, building a financial data warehouse, and creating data models for analytics and machine learning. Responsibilities include developing dashboards, sharing data best practices, and collaborating with data scientists and product teams.

Develop cloud-based data systems and processes, enabling effective data ingestion and management. Collaborate with data scientists and product teams to create high-quality data models and dashboards, ensuring compliance with regulatory requirements. Leverage AWS services for data transformation and analysis, while sharing expertise in best practices across the organization.

As a Data Engineer, you will create and maintain efficient data transformation pipelines, manage complex financial datasets, optimize data delivery processes, and build scalable data infrastructure. Collaboration with cross-functional teams is crucial to addressing data-related issues and to support data infrastructure needs.

The Frontend Engineer will develop advanced data visualizations as part of the Visualization squad, collaborating closely with engineers, designers, and product managers. Responsibilities include enhancing the chart library, optimizing browser rendering for large datasets, and advocating for data visualization best practices. The role focuses on delivering user-friendly authoring tools and customizable dashboards for customers to address their specific business challenges.

As a Data Engineer, you'll design scalable data pipelines, integrate data from various sources, ensure data quality and governance, optimize performance, and collaborate with teams across the organization to support decision-making through actionable insights.

As a Senior Data Engineer at Aircall, you will design, develop, and maintain data infrastructure, build reliable data pipelines, enhance data quality and compliance, mentor junior team members, and collaborate with cross-functional teams to improve operational efficiency and support complex data challenges.

The Data Engineer will develop scalable data pipelines, write robust code, support technical designs, engage in code reviews, and explore technology enhancements. The role includes enhancing the understanding of products and ensuring production readiness of code, all while maintaining a strong collaborative team environment.

The Senior Data Engineer will manage data extraction, cleaning, and processing using SQL and Python, build and maintain data pipelines, and collaborate with team members on data projects. Responsibilities include mentoring junior analysts and ensuring data quality throughout the process using internal tools and best practices.

As a Middle Data Engineer, you will play a key role in enhancing the online car market by building and maintaining data pipelines, improving existing tools, and collaborating with senior engineering teams. Your expertise in data platforms and AWS services will drive significant improvements in user experience.

As a Cloud Data Engineer at DuPont, you will define data architecture standards, develop ETL processes, implement Azure data services, and ensure data governance. You will collaborate with teams to deliver data solutions, provide technical guidance, and enhance existing data services while adhering to security compliance standards.

As a Strong Middle Data Engineer, you will design and maintain data platforms and pipelines for an online car market. Collaborate with senior engineers to simplify tools and enhance user experience while actively participating in decision-making and improvements.

As a Data Engineer, you will innovate data-driven solutions, build and optimize models, and train teams. You will manage projects from inception to implementation, collaborating with various experts to understand client needs and deliver strategic data recommendations.

As a Data Engineer at Edge & Node, you will develop and maintain data ingestion adapters for various blockchain networks, implement data ingestion strategies, handle data quality checks, and optimize block ingestion processes. You will collaborate with upstream data sources and contribute to the growth of a decentralized web3 ecosystem.

As a Data Engineer specializing in process mining at Brainlab, you will design and maintain data pipelines, support the Celonis implementation, collaborate with teams to analyze requirements, and optimize process mining models. Your role involves ensuring data accuracy, troubleshooting pipelines, and providing technical support on Celonis capabilities.

As a Data Engineer, you will build and manage data pipelines for collecting and processing data from various sources. Collaborate with Data Analysts and Platform Engineers to enhance data infrastructure and implement automated testing for data integrity, enabling data-informed decisions. Experience with Google Cloud Platform and proficiency in SQL and Python are essential.