Top Data Engineer Jobs in Germany

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, 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, 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.

Design, build, and maintain scalable data products and AWS Redshift data mart infrastructure. Develop ETL pipelines, implement data modeling and quality checks, optimize performance, and collaborate with BI and analytics teams to deliver reliable reporting solutions.

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.

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.

Design, build, and own scalable ETL/ELT data pipelines (Snowflake, Dagster, dbt). Migrate legacy Django/Celery pipelines, ensure data quality, observability, and collaborate with Product, Analytics, and Data Science.

Design, build, deploy, and maintain enterprise-scale data pipelines and analytic solutions. Organize disparate data for reporting and applied production AI, guide cross-functional teams, and support assessment, design, and operations of data applications.

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.

The (Senior) Data Engineer designs and maintains data pipelines, collaborates with clients on data needs, and develops dashboards for insights.

The Data Engineer will develop statistical models and algorithms, analyze complex data for insights, and enhance performance models using machine learning.

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.