Top Data Engineer Jobs in Germany

This role involves building an A/B testing platform, enhancing marketing attribution systems, improving data discoverability, and collaborating with various teams to deliver data-driven decision-making solutions while mentoring peers.

The Principal Data Engineer will build data foundations for an AI-powered architecture design product, creating optimized data systems and robust data pipelines that support rapid experimentation and decision-making processes, and collaborating with cross-functional teams to meet data needs.

The Data Engineer will manage databases and data warehouses within the Asset Management sector, ensuring compliance with regulatory frameworks and handling production issues. They will collaborate with business users to gather requirements, support data engineering activities, and improve audit findings while working in an agile environment and overseeing integration architectures.

The Senior Data Platform Engineer will design, build, and maintain data pipelines and services within Zalando's Central Data Lake, ensuring data security, compliance, and reliability. The role involves collaborating with teams to implement high-performance data integration systems and driving innovations in data transformation.

As a Research Engineer at Autodesk, you will build ML-powered product features and unify disparate data sources (text, images, 3D models). Your role involves developing scalable systems for data processing, conducting experiments, producing visualizations, and ensuring compliant data use while collaborating with AI researchers.

The Senior Data Engineer will innovate, build, and maintain data solutions while working collaboratively with a diverse team. Responsibilities include managing data pipelines, training others, optimizing performance, and communicating technical solutions to non-technical clients. The role demands experience with modern tools and a mindset focused on continuous improvement and knowledge sharing.

The Data DevOps Engineer will manage and maintain AWS services, develop artifacts with Python and other languages, collaborate with development teams, monitor tech stacks, and create operational documentation. This role requires a strong understanding of data processes and teamwork.

As a Backend Engineer at Procure Ai, you will develop intelligent software components for a data platform focused on procurement. Responsibilities include building scalable data ingestion pipelines, combining data engineering with backend development, and collaborating with customers for impactful software solutions.

As a Senior Data Engineer, you'll optimize large datasets for business use cases, employ machine learning for insights, and lead the design of data platforms for real-time processing and decision-making. You'll collaborate with stakeholders to fulfill data intelligence solutions and analyze customer behavior to enhance after-sales processes.

Join Snowflake as a Senior Software Engineer in the SQL Data Types team in Berlin, Germany. Design, develop, and support complex systems for storing and processing data, collaborating with various teams for the best outcome. Ideal candidates have 6+ years of industry experience, strong CS fundamentals, and fluency in C++ and/or Java.

Join Snowflake in Berlin, Germany as a Senior Software Engineer to work on building the next generation streaming data platform. Responsibilities include designing and building distributed data systems, collaborating with global teams, and ensuring operational readiness of services.

As a Software Engineer at Dataiku, you will enhance data exploration features, create new chart types, optimize chart engines, and improve dashboard experiences. You'll work collaboratively across teams to implement and test high-quality code, ensuring a user-centric design in data visualization tools.

As a Staff Software Engineer on the Storage and IO team, you will develop the next-generation cloud storage I/O platform, enhancing performance and reliability for query processing. This role focuses on addressing technical challenges related to distributed systems and big data.

As a Senior Data Engineer, you will design and maintain scalable data pipelines, lead the migration to a new data platform, and ensure data integrity through automated monitoring. Collaboration with various teams to deliver data solutions supporting business objectives is key, along with upholding best practices and high engineering standards.

As a Senior/Lead Data & MLOps Engineer, you will own the backend of the workflow mapping product, developing pipelines, and core components of ML systems. Responsibilities include writing algorithms, building data and ML training pipelines, collaborating with data scientists, optimizing model performance, and mentoring new team members.

Join a company at the forefront of TV streaming services and climate neutrality as a Big Data Engineer. Collaborate with the data team to enable data-based decision-making and build scalable pipelines. Manage cloud-based and on-premises data warehouses and design data processing pipelines for analytics and machine learning modules. Bring a master's degree in Computer Science, 3+ years of experience in Data Engineering, and expertise in Python, SQL, Airflow, Tableau, Kafka, and more.

The Staff Data Engineer will lead the design and development of scalable data pipelines, oversee migrations from legacy systems, enforce engineering standards, and drive improvements in data infrastructure while mentoring the team and ensuring data integrity through monitoring systems.