Top Data Engineer Jobs in Berlin

The role involves developing and supporting data processing pipelines, collaborating with ML Engineers, and improving infrastructure while mentoring team members.

As a Senior Data Engineer, you will design scalable data pipelines, implement new technologies, collaborate with Data Scientists, and lead technical aspects while maintaining documentation on data processes.

The role involves designing and maintaining a data infrastructure, improving reliability through automation, implementing monitoring systems, optimizing resources, and setting up real-time analytics for data and AI use cases.

This role involves data collection for model training, operating cloud infrastructure, and collaborating with AI teams to enhance data quality and throughput.

As a Data Engineer, you'll design and maintain ETL pipelines, write TypeScript code, and collaborate with stakeholders to ensure data quality and performance.

The role involves building and maintaining data infrastructure, ensuring efficient collection, processing, and storage of data while collaborating on projects and employing data quality measures.

The Senior Data Science Engineer will develop and deploy machine learning solutions focused on demand forecasting and optimization for a fleet management platform, ensuring reliability and impact, while working with various stakeholders.

As a Senior Data Engineer, you will build and integrate data products, design data flows, and ensure data accessibility for analysis. You will utilize cloud technologies and collaborate across teams to enhance dealer products.

The Junior Data Engineer will analyze data, design experiments, build a marketing data stack, and collaborate with teams to improve data access and insights.

Design and develop data models, ETL processes, and cloud-based data solutions using Azure and various big data technologies. Support report generation and data analysis.

The Senior AI Engineer will design scalable AI systems, focusing on LLM-powered agents and automation, optimizing delivery operations globally.

Design and maintain data pipelines, collaborate with stakeholders, ensure data quality, deploy infrastructure as code, and optimize reporting solutions.

The Senior Data Engineer will design scalable systems, automate ML operations, optimize performance, and enhance infrastructure for data processing and monitoring.

The Staff/Lead Fullstack Engineer will enhance the Mimica Webapp by architecting scalable UI components, managing large datasets, and optimizing performance while collaborating with cross-functional teams.

Design and build reliable, performant data pipelines for large payment datasets. Own end-to-end data flows, drive data quality, implement transformations (dbt), operate on StarRocks and Flink/Spark in cloud (AWS/GCP), collaborate cross-functionally, establish engineering standards, mentor engineers, and shape CI/CD and incident practices.

Lead end-to-end data engineering for supply-side products: build reliable pipelines, data models and observability; partner with Supply, Product and Data; improve production systems; mentor engineers and shape best practices for scalability, quality, performance, and cost-efficiency.

As a Senior Data Engineer, you'll design and maintain data pipelines, transform raw data into insights, and support multiple teams with reliable data analytics.

As a Staff Data Engineer at Qonto, you'll design scalable data architecture, ensure data quality, and bridge ML teams with platform engineering to support AI product development.

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.

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

As a Senior Data Engineer, you will architect and scale data platforms with Databricks, manage data pipelines, ensure data quality, and collaborate with teams on data-driven solutions.

The role involves developing AI platforms, mentoring engineers, optimizing solutions, and contributing to the overall product strategy for Snowflake's AI tools.

Design, build, and maintain a trusted semantic layer and reusable data models (dimensions, facts, metrics). Translate business logic into clear data specs, improve model reliability with testing and lineage, drive adoption across teams, standardize modelling conventions, and enable self-serve analytics for product, GTM, and finance stakeholders.