Dagster Jobs in Germany

In this role, you will develop complex data pipelines, transform business requirements into actionable data, and create reports to support the team in analyses and experiments.

In this position, you will analyze source systems, develop and optimize data warehouse architectures and ETL pipelines, while working closely with business units and maintaining a focus on data quality.

In this role, you will develop ML models to optimize delivery efficiency and enhance driver productivity, while leading strategic data initiatives and mentoring junior data scientists.

In this role, you will integrate new data sources, design and build robust end-to-end data pipelines, and develop a scalable data platform for stakeholders needing high-quality insights.

In this role, you will develop data pipelines for integrating complex ERP data structures, build a Data Lake infrastructure on AWS, and implement resilient workflows for reliable data processing.

In this role, you will develop ML-based geocoding systems, enhance relevance models, and automate evaluation processes. You will tackle geospatial data challenges and provide mentorship to team members.

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 design robust data pipelines for shop performance analysis, develop automated reporting solutions, and enhance revenue attribution models while collaborating closely with various teams.

In this role, you will develop comprehensive ML models for budget allocation and conversion rate optimization, design production-grade AI agents, and conduct in-depth analyses on sales efficiency.

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.

In this role, you lead the Data & Analytics team, develop data architectures and pipelines, and ensure reliable data for analysis. Additionally, you enhance dashboards and cultivate a deep understanding of data within business units.

In this role, you will develop a modern data platform for AI and BI applications, build pipelines, optimize systems, and collaborate closely with cross-functional teams and stakeholders.

In this role, you will design scalable data pipelines and advanced data architectures with Snowflake, conduct internal training sessions, and provide strategic consulting to clients from conception to implementation.