Delta Lake Jobs in Germany

In this role, you lead complex data migrations from legacy systems to modern cloud lakehouse architectures. You design robust data pipelines, establish data quality standards, and communicate risks effectively to all stakeholders.

In this role, you will build scalable data pipelines on Microsoft Azure to optimize data integration, transformation, and delivery for marketing and loyalty analytics.

In this role, you will develop scalable data products in Databricks, model data, ensure high quality, and guide the implementation of innovative AI applications to enhance data strategy and analytics landscape.

In this role, you will take ownership of complex data migrations from legacy systems to modern cloud architectures, design robust data pipelines, and ensure data quality through effective validation strategies.

In this role, you will design scalable Lakehouse architectures using Azure Databricks, integrate platforms into existing data landscapes, and implement DevOps standards to create data-driven solutions for clients.

In this role, you design and operate modern data platforms on AWS, Azure, or GCP, automate infrastructure with Terraform, and integrate streaming architectures using Kafka.

In this role, you will develop tailored data models, implement ETL pipelines for data integration, ensure data quality, and work with technologies like Spark and cloud services to efficiently process large datasets.

In this role, you design scalable Lakehouse architectures on Azure Databricks, implement data solutions for business areas, and develop CI/CD standards and ML applications.

In this role, you will take ownership of the Databricks lakehouse, modeling trusted datasets for finance, sales, and logistics while building data pipelines and implementing monitoring systems.

In this role, you will develop reliable big data platforms, optimize data pipelines using Spark and Scala, and implement cloud solutions with Docker and Kubernetes in the AWS environment.

In this role, you will develop data integration solutions on Databricks, implement scalable data architectures, and lead cloud data engineering projects in collaboration with teams and clients.

In this role, you will develop ETL processes for data integration in Business Analytics and Machine Learning while shaping the transition to cloud and AI technologies, enhancing software architectures in the process.

In this role, you will develop innovative data products and architect complex data integration solutions. You will take ownership of the central data layer, lead international projects, and mentor junior colleagues.

In this role, you will design scalable lakehouse architectures, develop sustainable data solutions on the Databricks platform, and realize complex data engineering projects from requirements gathering to production deployment.

In this role, you will develop highly scalable data lake systems and work closely with product teams to design innovative features while integrating open standards and technologies.