Top Data Engineer Jobs in Berlin

Develop backend services using Rust for cloud-native systems processing terabytes of data. Contribute to innovation in observability solutions.

The Senior Data Engineer will design and build real-time data pipelines, develop ingestion pipelines, ensure data quality, and support data operations for logistics optimization.

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.

As a Senior Data Engineer, you'll design, implement, and optimize scalable data pipelines and Data Lake architecture, collaborate cross-functionally, and ensure data reliability and quality in a rapidly growing AI-driven environment.

You will design and build data infrastructure from scratch, enabling the company to utilize data effectively across all teams, ensuring security and regulatory compliance.

The job is for a Senior Data Engineer position, focusing on data handling and engineering tasks. It requires expertise in data technologies and offers opportunities for professional development.

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

The Senior Data Engineer will design and build data pipelines on GCP, ensuring high data quality and reliability for analytics and ML products. Responsibilities include mastering ETL processes, managing workflows with Airflow, and collaborating closely with ML engineers.

Leading and mentoring a data platform engineering team while overseeing platform architecture, development, and compliance with security and governance in a cloud environment.

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

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.

Lead a data engineering team in creating and maintaining a data platform. Responsibilities include designing ETL pipelines, ensuring data quality, and contributing to overall platform stability.

The Software Engineer will focus on data collection and integration for model training at Speechify, improving data quality and pipeline infrastructure.

Own and scale the ingestion pipeline and backend abstractions for high-throughput AI tracing data. Optimize ClickHouse schemas and queries, operate Langfuse Cloud and self-hosted deployments, and build infrastructure-heavy features that enable product engineers to ship data-heavy capabilities.

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.

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.

The Lead Data Engineer will design and build scalable data pipelines on Databricks, develop ETL/ELT pipelines with PySpark, and mentor engineering teams for data transformation and analytics.

Design and develop scalable data pipelines using PySpark and Databricks, focusing on data ingestion, transformation, validation, and performance optimization.

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

The (Senior) Data & AI Engineer designs and maintains scalable data platforms, builds data pipelines, and advises customers on data solutions while collaborating with stakeholders and optimizing data workflows.

As a Senior Data Engineer, you'll build and manage data pipelines, ensure data quality, and collaborate across teams, contributing to the Data Platform's growth.

Design and implement core YTsaurus functionality in C++, build and evolve platform-level capabilities, improve APIs and UX for internal users, own production quality including incident response/on-call, and collaborate with stakeholders to prioritize and deliver scalable data platform features.

As a Senior Frontend Engineer, you will drive projects affecting user experience, mentor team members, enhance data visualization, and ensure operational excellence.