Top Data Engineer Jobs in Germany

The Data Engineer will build high-quality data warehouses and marketing automation systems, integrate data from various systems, and evaluate AI use cases. They will work in an agile environment with the Analytics team to ensure access to data for the organization, contributing to scalable data-driven applications.

As a Data Engineer, you will create and maintain both batch and real-time data pipelines, develop internal process improvements, and build infrastructure for data extraction and loading using various big data technologies and SQL. You will collaborate with multiple stakeholders to provide insights into business performance metrics.

As a Data Engineer, you'll design and manage batch and streaming data pipelines, ensuring quality and scalability, while collaborating with cross-functional teams. Your role involves developing automated tests for data quality and effectively navigating complex data sources.

As a Principal Data Engineer, you will design and develop large-scale data systems to enhance customer engagement. Responsibilities include architecting data pipelines, implementing best practices in development, mentoring engineers, and collaborating with cross-functional teams to deliver personalized content to over 50 million customers.

As a Data Engineer at payabl., you will design and implement data pipelines, integrate data from various sources, ensure data quality and compliance, optimize performance, and collaborate with cross-functional teams to provide actionable insights. You will also document data infrastructure and processes for maintainability.

As a Senior ML Engineer, you will develop and maintain scalable machine learning products, operate backend microservices on Kubernetes and AWS, and improve data pipelines while collaborating with data scientists to productionize ML solutions. You will also participate in A/B testing, generate insights from customer data, and contribute to the engineering culture.

As a Senior Principal Data Engineer at Zalando, you will design and build high-quality data infrastructure solutions, lead architectural efforts, manage junior engineers, ensure data compliance, and collaborate across teams to drive the data strategy for the company.

As a Data Engineer at Aircall, you'll design and implement real-time distributed data pipes for analytics and products, ensuring high reliability and low latency. You'll support teams with best practices, build a scalable serverless infrastructure, and contribute to ongoing data projects.

As a Middle Data Engineer, you will enhance online car markets by developing and maintaining data pipelines, working with AWS services and SQL, and collaborating with a senior engineering team to improve tools and drive initiatives.

As a Strong Middle Data Engineer, you will enhance online car markets and improve user experience. Responsibilities include simplifying existing tools, managing technical debt, proposing improvements, and collaborating closely with Senior Engineers and management.

As a Senior Data Engineer, you will develop a scalable cloud-based data infrastructure on AWS, create a financial data warehouse, process structured and unstructured data, collaborate with data scientists, and build interactive dashboards for various stakeholders.

As a Data Engineer, you will develop and maintain data ingestion adapters for blockchain networks, implement data ingestion strategies, optimize latency, and collaborate with upstream data sources. You will perform data quality checks and adapt to a dynamic remote work environment.

As a Data Engineer at Octopus Energy, you will support various teams by designing and building operational data pipelines, maintaining these pipelines, and developing dashboard solutions. You will engage with international teams to standardize practices and improve data platform capabilities, driving the transition towards Net Zero.

Develop and enhance a cloud-based data backbone, design and operate data pipelines in AWS, clean and prepare data for analytics, collaborate with data scientists, create dashboards for stakeholders, and promote data best practices.

You will design, build, and maintain data-related infrastructure and systems to support our AI-powered sales platform, leveraging your expertise to allow efficient access and processing of information.

The Data Engineer will design, develop, and maintain data pipelines for Celonis Process Mining, collaborate with teams to analyze business requirements, integrate data sources, optimize process mining models, and provide technical support for stakeholders. They will also monitor data pipelines for integrity and stay updated with industry trends.

The Data Engineer II at PriceSpider is responsible for building and maintaining enterprise-level data infrastructure and tools. Responsibilities include developing complex data pipelines, quality monitoring solutions, and working with data analytics platforms like Snowflake and BigQuery. The role requires strong data manipulation skills and experience in managing large datasets.