Top Data Engineer Jobs in Germany

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

Design, build, and maintain scalable data pipelines using Azure technologies. Optimize data integrity and performance for BI and AI use cases while collaborating in workshops to deliver tailored solutions.

As a Senior Data Engineer, you'll own the data stack, build data pipelines, and collaborate in a data-driven culture to support decision-making.

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

The Data Engineer builds advanced technology solutions, developing ETL workflows, managing scalable data platforms, and guiding a multi-disciplinary team to derive insights from data.

Design, build, and maintain enterprise-scale data pipelines and analytic solutions. Deploy production AI workflows, guide cross-functional teams, and operationalize data applications for reporting, analytics, and mission-driven clients.

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.

Design, build, and optimize scalable cloud-native data pipelines and architectures using Azure, Databricks, and Big Data technologies. Support cross-team data needs, apply CI/CD for analytics projects, and ensure performance, scalability, and security of data systems.

Design, build, and optimize scalable cloud-native data pipelines and architectures using Azure, Databricks, Delta Lake and DBT. Collaborate with stakeholders to deliver data-driven solutions, apply CI/CD and DevOps practices, and support Data & AI initiatives across finance, e-commerce, pharma, and supply chain domains.

The Data Engineer will develop and evolve the Microsoft Azure platform for big data, build cloud solutions, analyze medical device data, collaborate with teams, and improve skills with the latest technologies.

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 Data Engineer will design and implement scalable data solutions, optimize ETL processes, and ensure data quality and compliance for a logistics network.

As a Senior Clinical Data Science Programmer, you will design and implement data pipelines, ensuring data integrity and collaboration with various users in a fully remote environment.

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

Design, build, deploy, and maintain enterprise-scale data pipelines and analytic solutions. Collaborate with cross-functional teams to operationalize data for reporting, geospatial and AI applications, with focus on applied production AI and mission-driven outcomes.

Design, build, and maintain enterprise-scale data pipelines and analytic solutions. Deploy production AI workflows, organize disparate data sources, and guide cross-functional teams in an agile environment to deliver mission-driven 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.

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 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 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 Senior Data Engineer, you will architect data flow solutions, design data layers, develop ontologies for knowledge models, and implement scalable processing pipelines while partnering with the CTO.

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 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.