Apache Spark Jobs in Germany

In this role, you will design an ML platform that simplifies feature engineering, training, and model monitoring. You will standardize the infrastructure and collaborate closely with data scientists to create effective solutions.

In this role, you will develop tools for machine learning platforms, support data scientists in feature engineering, and standardize ML infrastructure for improved user experience.

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 work on client projects, analyze data to generate business value, develop dashboards with tools like Tableau, design data architectures, and automate reports and analyses.

In this role, you will develop scalable data products and pipelines using SAP and non-SAP data, work with Snowflake and dbt, and optimize data models for data-driven management in the Finance department.

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 design and maintain scalable, reliable AWS-based systems, develop Python code, and implement CI/CD pipelines using Terraform while collaborating closely on data management with teams.

In this role, you develop data pipelines and modern data platforms using Databricks, optimize ETL and ELT processes, and integrate diverse data sources using Python, SQL, and Apache Spark.

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 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 design and implement robust data pipelines and analytics platforms using open-source technologies, ensure automated deployments, and integrate solutions into existing infrastructures.

You shape the AI architecture at Frankfurt Airport, implement critical use cases, and lead internal and external teams in developing scalable solutions using Azure and Databricks.

In this role, you design and implement data flows and databases in the Azure Cloud, closely collaborating with clients to transform their requirements into efficient data pipelines.

In this role, you will develop automated data pipelines, optimize data processing workflows, and implement modern data architectures for batch and streaming data on hybrid platforms.

In this role, you develop data pipelines using Snowflake and tools like dbt and Airflow, analyze data, advise clients on best practices, and ensure robust data processes and governance policies.