Dagster Jobs in Germany

In this role, you will develop efficient data pipelines and automate infrastructure processes for a scalable Data Platform while integrating cutting-edge technologies in Data Engineering and Analytics.

You will develop and maintain a comprehensive data platform using Dagster, dbt, and GCP, optimize essential ELT pipelines, and take responsibility for decision-relevant reports for management and other data teams.

In this role, you will develop data pipelines using Databricks on Azure, build real-time applications with Kafka, and automate processes with Terraform while collaborating closely with the team.

In this role, you will develop scalable data pipelines, lead migrations to modern data architectures, and optimize data models to establish a foundation for efficient reporting in a dynamic e-commerce environment.

In this role, you will develop scalable data pipelines for shop performance analytics, design automated reporting solutions, and enhance our revenue attribution model.

In this role, you will develop and maintain data-driven applications and APIs, manage ETL pipelines, and analyze business requirements to implement technical solutions.

In this role, you will manage middleware and integration platforms, implement interfaces between SAP systems and business applications, and oversee and analyze data flows.

In this role, you will architect robust data pipelines and supply ML models with high-quality data while collaborating closely with other teams and providing technical mentorship.

In this role, you will develop smart product sortings using NodeJS and TypeScript, manage extensive data with Google BigQuery, and enhance high-performance APIs for minimal latencies.

In this role, you lead a team of Data Engineers, develop data pipelines and dashboards for clients, optimize data integration and reporting processes, and serve as the technical point of contact for client requirements.

In this role, you will develop a cutting-edge search engine using Node.js and TypeScript, manage extensive data in Google BigQuery, and optimize high-traffic APIs to enhance performance.

In this role, you will develop data pipelines, integrate new data sources, and closely collaborate with a Data Scientist to create AI-driven solutions for investment teams and promote the application of AI within the firm.

In this role, you will develop intelligent product stream sorting using NodeJS and TypeScript, manage large data sets with Google BigQuery, and ensure integration into BI systems.

In this role, you will develop data architectures and integration strategies for regional data sources, leveraging Python, SQL, and modern tools while collaborating with Data Stewards and Scientists.

In this role, you will develop scalable data pipelines for AI/ML initiatives, collaborate closely with data scientists and engineers, and optimize ETL processes to enhance player experiences.