Top Data Engineer Jobs in Berlin

As a Data Engineer, you will design data pipelines, implement storage solutions, refine data warehouse systems, and analyze infrastructure performance.

As a Data Engineer, you will design, build, and maintain scalable data pipelines and ETL processes using SQL and Python, manage data infrastructure components, optimize data systems for performance, and ensure data quality and compliance standards.

This role is for a Data Engineer in a Tech Grad Program, focusing on developing tech solutions under mentorship. Candidates should have relevant degrees or bootcamp experience, and skills in SQL, noSQL, and cloud services are preferred.

As a Principal Database Engineer, you will architect scalable PostgreSQL solutions, ensuring data reliability, performance, and collaborating with teams to build a robust data platform for GitLab's growth.

As a Data Engineer, you will develop and maintain data solutions, collaborate with teams, ensure data quality, and manage data pipelines in a Data Mesh environment.

Design and maintain data platforms, optimize workflows, and collaborate with stakeholders to meet data requirements using modern technologies.

Join GetYourGuide as a Data Engineer, designing and evolving the core data platform, optimizing data pipelines, and ensuring performance and reliability of the data ecosystem.

Design and build ETL pipelines and self-service data tools using modern cloud technologies, while collaborating with stakeholders to deliver data solutions.

The Senior Data Engineer will develop scalable cloud-based data solutions, build data pipelines, ensure data quality, and collaborate within data and product teams.

Design, build, and optimize scalable data platforms using Azure and Databricks. Responsible for developing ETL/ELT pipelines, maintaining data quality, and collaborating with analytics teams.

Design and architect scalable backend services, develop robust governance systems, build SaaS solutions, and mentor junior engineers to enhance IoT platform capabilities.

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 Senior Data Engineer will design and build high-performance data pipelines, ensuring data quality for AI applications, and promote best practices in data products optimized for machine learning.

As a Data Engineer, you will build data pipelines, ensure data reliability, automate processes, and improve data infrastructure for operational insights.

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

Develop and maintain scalable data infrastructure and ETL pipelines, support machine learning applications, ensure data quality, and collaborate on data models.

As a Data Engineer at Helsing, you will lead and automate data acquisition and labeling processes for AI development, support data preparation pipelines, and collaborate with engineering teams.

As a Senior DevOps Engineer, you will maintain and evolve project infrastructure, automate deployment processes, and ensure compliance with bank standards while collaborating with development teams.

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.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

As a Senior Security Engineer, you'll design secure cloud infrastructure, automate deployments, optimize CI/CD pipelines, and manage internal security solutions while collaborating with teams and documenting processes.

The Data Engineer is responsible for designing and building APIs, developing data pipelines, ensuring system reliability, and collaborating on technical solutions for business outcomes.

The AWS Data Platform Engineer will build and maintain data pipelines, improve data infrastructure, collaborate with teams, and ensure data reliability.

Drive innovation by building data and AI infrastructure for ranking, bidding, and recommendation systems. Design high-performance data pipelines and feature stores. Enable advanced modeling and improve data delivery capabilities.

As a Senior Data Engineer, you'll optimize the data platform, build automated pipelines, and write complex SQL and Python scripts for data processing.