Top Data Engineer Jobs in Berlin

As a Software Engineer on the Data Platform team, you will design and implement scalable systems for data processing, ensuring data quality and governance, while collaborating with cross-functional teams and mentoring engineers.

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

As a Data Engineer at Zapier, you'll build scalable data systems, enhance product functionality through data, and collaborate with teams to improve data access and usability.

As a Data Engineer, you will manage data ingestion workflows from Postgres to BigQuery, maintain data infrastructure, and contribute to data engineering pipelines while applying best practices.

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.

Join the Foundation Model Training team to develop and manage large-scale data pipelines for AI-driven language products, ensuring data quality and processing. Collaborate with research scientists to improve model training outcomes.

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.

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.

The Principal Data Engineer will improve data pipeline architecture, optimize data flows, and support data projects for various teams in the company.

As a Middle Data Engineer, migrate SQL Server data warehouses to Snowflake, refactor ETL processes, build data pipelines, and ensure reliable data movement.

As a Data Engineer at Screenverse, you'll build ETL pipelines, ensure data quality, and contribute to data strategy in a collaborative environment.

The Data Engineer will design and implement data infrastructure, build scalable data pipelines, create data models, and automate workflows while collaborating with various teams to enhance analytics capabilities.

The Data Engineer will design and maintain scalable data pipelines, optimize data infrastructure, monitor data quality, and enable analytics capabilities, ensuring alignment with business goals.

As a Salesforce Engineer at Zalando, you will develop multi-org CRM solutions, manage the full software development lifecycle, and optimize systems while collaborating with a diverse team.

N-iX seeks a Data Engineer with MLOps experience to create scalable ML pipelines, deploy models, and contribute to best practices in data engineering and coding.

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.

As a Data Engineer, you'll design, develop, and implement high-performance data infrastructure and pipelines while communicating effectively with various stakeholders.

The Data Engineer will design, develop, and maintain data products and ETL processes within AWS Redshift, ensuring data quality and performance optimization while collaborating with cross-functional teams.

The Data Engineer will design and maintain ETL pipelines, optimize data models, develop exporters, and ensure reliable data services for the Lambda app in a fast-paced startup environment.

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.

As an Analytics Engineer, you will design and maintain SQL models for on-chain data, work with transformation tools, and collaborate with engineers on data pipelines.

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

Develop scalable data pipelines and tools for forecasting and data analysis, ensuring high quality and integration within Statista's data architecture.

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.