Data Engineer Jobs in Cologne

In this role, you will accompany agile development teams in the Data & AI sector, support continuous improvement of collaboration, and promote an open communication culture.

In this role, you will lead a senior team, drive data platform strategies, build integrations with ERP systems, and create internal tools to support business processes.

In this role, you will develop database integrations and RESTful APIs, design backend architectures, and build AI pipelines for data processing for our business applications and AI systems.

In this role, you will develop data pipelines for integrating complex ERP data structures, build a Data Lake infrastructure on AWS, and implement resilient workflows for reliable data processing.

In this role, you analyze large datasets to identify critical business processes, define KPIs, create dashboards, and independently explore new data sources to enrich existing models.

In this role, you drive the development of AI-powered Data Engineering solutions, advise clients on Azure Cloud, and create technical architectures for personalized marketing campaigns.

In this role, you will develop scalable data products for Supply Chain Management, implement data pipelines, and collaborate closely with experts to translate business requirements into efficient solutions.

In this role, you lead a project team, implement AI-driven data engineering methods in the Azure Cloud, and optimize marketing campaigns through innovative data management solutions.

In this role, you develop machine-learning models, analyze large datasets using Python and SQL, operationalize solutions, and advise clients on data-driven decisions.

In this role, you will develop data-driven strategies, lead interdisciplinary teams, implement complex analytics projects, and accompany digital transformations in marketing, sales, and service for executive-level clients.

In this role, you will develop innovative AI and Machine Learning solutions, particularly Generative Deep Learning models, and implement data-driven systems using Python tools in a cloud environment.

In this position, you design modern data systems for integrating and processing large datasets, support the training of AI solutions, and implement measures for data quality and data cleaning.

In this role, you will develop data processing pipelines for batch and real-time processing, implement Azure Functions, create Data Factory pipelines, and optimize ETL processes using PySpark and SQL in a modern cloud environment.

In this role, you will modernize the data platform, develop Snowflake data models, build ELT pipelines, and analyze source data to create optimal target models in Snowflake.

In this role, you will develop comprehensive data governance policies and monitor their implementation. You will ensure data quality, collaborate closely with teams, and conduct training sessions.