Apache Spark Jobs in Germany

In this role, you will develop AI-driven solutions using Python, SQL, and modern frameworks, leverage cloud technologies, and lead projects in Data Engineering, MLOps, and LLMOps.

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 pipelines and interactive dashboards in Databricks, support data quality efforts, and apply data governance and security standards to enhance data-driven decision-making.

In this role, you will develop modern data platforms and optimize data pipelines using technologies like Databricks and Apache Spark, while collaborating on data governance and CI/CD processes.

In this role, you will build robust data pipelines using Python and SQL, integrate diverse data sources, and improve data quality. Additionally, you will architect a user-friendly self-service data onboarding platform.

In this role, you analyze customer requirements, develop reports and dashboards using Power BI or Tableau, and optimize data pipelines using technologies like Apache Spark and MS Azure.

In this role, you will develop methods for linking personal datasets, process large data volumes using Cloudera, Python, and Spark, and conduct business acceptance tests.

In this role, you will develop data pipelines using SQL, Spark, and Python, implement CI/CD practices, and make architectural decisions for AWS or Azure projects as part of a team.

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 consult on a Big Data platform, administer complex solutions, and design innovative systems. Additionally, you will automate processes and share your knowledge in projects and seminars.

In this role, you will develop data pipelines, design and maintain Airflow DAGs and dbt pipelines, manage Kubernetes environments, and collaborate with the SRE team to optimize infrastructure and deployments.

In this role, you will develop modern AI solutions, advise clients on implementing AI initiatives, create prototypes, and present technical concepts effectively to stakeholders.

In this role, you design the data architecture, develop ETL pipelines with Apache Spark, shape the Databricks Lakehouse architecture, and implement robust data governance to optimize data integration and usage.

In this role, you design complex distributed systems and data infrastructures, optimize CI/CD processes using GitOps/ArgoCD, and implement MLOps strategies for efficiently deploying scalable platform solutions.