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 implement a Databricks Lakehouse connecting Salesforce and other data sources, create scalable ETL/ELT pipelines, and ensure data governance and compliance while mentoring colleagues.

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

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 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.

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.

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.

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 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.

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.

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.

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.

As a Staff Data Engineer at Qonto, you'll design scalable data architecture, ensure data quality, and bridge ML teams with platform engineering to support AI product development.

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

Develop and maintain scalable data streaming products, contribute to backend services and SDKs, mentor team members, and improve tech-debt in an agile environment.

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 role involves developing AI platforms, mentoring engineers, optimizing solutions, and contributing to the overall product strategy for Snowflake's AI tools.

As a Senior Staff Data Engineer, you will lead data engineering practices, establish best practices, mentor teams, and design secure data solutions. Collaboration with various teams is essential to align on goals and ensure compliance with data regulations.