Top Data Engineer Jobs in Berlin

Develop AI-ready data architecture for In-Vivo biology labs by leveraging data platforms, integrating datasets, and collaborating with machine learning experts. Engage in data analysis, visualization, and external collaborations to enhance drug discovery.

The AI Data Engineer will develop an AI-ready data architecture for biologics labs, create data products, and ensure effective data integration and analysis for drug discovery.

Design and build data processing pipelines for Zeta's AdTech platform focusing on performance, reliability, and real-time data delivery while collaborating across teams.

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

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.

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.

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

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

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.

As a Business Intelligence Analyst, you'll manage BI processes, create dashboards, and collaborate with teams to drive data-driven decisions, enhancing data quality and metric definitions.

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.

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

Design and implement data pipelines, manage access controls in Snowflake, and ensure compliance through automation. Collaborate with cross-functional teams to optimize data workflows.

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

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

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

Design and implement search retrieval and ranking systems, build data pipelines, and evaluate performance metrics. Collaborate with teams to enhance system relevance.

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 Platform Engineer, you will design, build, and maintain a cloud data platform, ensuring its reliability and efficiency while supporting AI integration and collaboration with internal teams.

The Senior Data Platform Engineer will design AI-driven data warehouse solutions, enabling analytics, automation, and intelligent decision-making through robust data pipelines and collaboration with product teams.

The Data Ops Engineer will design and build data pipelines, develop automated systems for insights delivery, enable AI workflows, and optimize data strategy.

Join the Perseus team to develop a product analytics solution using Golang and GCP, focusing on scalable data streaming and system architecture. Responsibilities include backend service development, mentoring, and addressing tech-debt.