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 design modern data pipelines, execute large-scale migrations, and ensure data modeling and quality while communicating closely with stakeholders.

In this role, you will develop modern data architectures and lead complex migrations from legacy systems to cloud solutions, including designing robust data pipelines and data models.

In this position, you will independently develop data pipelines in Databricks, analyze data using SQL and Python, optimize Power BI dashboards, and work on AI applications and their further development.

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 reliable data pipelines using SQL and Python, modernize legacy systems to the cloud, and implement robust data integration patterns for efficient data processing.

In this role, you will develop scalable solutions for processing and aggregating TV and advertising data using Spark and Scala while utilizing Docker and Kubernetes in the AWS cloud and leading test automation efforts.

In this role, you will develop high-throughput database integrations and optimize real-time data replication while tackling complex challenges in distributed architectures.

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.

In this role, you will establish an Azure-based cloud infrastructure for a modern data platform, develop ELT data pipelines, and implement CI/CD pipelines using Databricks.

In this role, you will build scalable data pipelines using Databricks and Apache Spark, optimize them for performance and cost, and ensure data quality and governance while collaborating with international teams.