Top Data Engineer Jobs in Berlin

As a Data Engineer, you will design and implement data pipelines, improve ETL processes, and ensure high performance of data infrastructure, while collaborating with clients to meet their goals.

As a Senior Data Engineer, you will build and maintain data pipelines, develop AWS-based solutions, and ensure data availability for decision-making across the company.

The Data Engineer will manage tracking data pipelines, ensure data quality and governance, optimize ELT processes, and collaborate with teams to enhance data accessibility and reliability.

Build end-to-end data solutions, collaborate with Product and Data teams, improve existing pipelines, and maintain data quality while delivering insights using data engineering best practices.

As a Data Engineer, you will build and maintain data pipelines, collaborate with product and data teams, and ensure data quality. You will leverage your expertise in SQL and Python to create reliable datasets that support business decisions, while participating in team planning and fostering a collaborative environment.

The role involves optimizing legal processes through automation and data integration across global legal teams, requiring strong technical skills in software engineering and data management.

As a Data Engineer at GALVANY, you'll architect data infrastructure, process real-time energy data, build scalable data pipelines, and ensure data quality for an AI-based Operating System.

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

The Data Engineer will design and maintain data pipelines and backend services, utilizing Python and cloud platforms to enhance data processing and performance.

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 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.

Build and maintain scalable ETL/data pipelines and orchestration for content publishing, optimize and monitor data infrastructure, automate processes, and collaborate with data and content teams.

The role involves building and maintaining data pipelines using various technologies, collaborating with stakeholders, monitoring data health, and promoting team knowledge sharing.

Responsible for deploying and maintaining data center infrastructure, troubleshooting hardware and network issues, managing inventory, and setting up data centers.

As a Data Engineer, you will design and build data pipelines, models, and infrastructure for analytics and machine learning while ensuring data quality and compliance.

The Senior AI Engineer will design and implement scalable AI systems and LLM-powered agents, optimizing performance and reliability while collaborating with data scientists and engineers.

Lead design and implementation of scalable data architectures, pipelines and Data/AI features. Build reliable data warehouses and ETL, enable analytics, and collaborate with product, analysts and supply chain specialists to deliver optimized, production-ready solutions.

As a Senior Data Engineer, you will build data-driven applications, integrate systems, and ensure easy access to data while collaborating with cross-functional teams in an agile environment.

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 Software Data Engineer, you will enhance and create data processing pipelines, monitor performance metrics, and enforce security practices within the Roads team at Mapbox.

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.

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 Senior Data Engineer will design and build data pipelines, structure data, implement event tracking, and ensure data quality for a no-code platform.

Design and maintain data pipelines while optimizing data warehouses, collaborating with analysts and scientists, and ensuring data integrity through quality measures.

The Senior Data Engineer will manage BI data infrastructure, develop data pipelines, ensure data security, and collaborate with stakeholders for data solutions.