Talend Jobs in Germany

In this role, you evaluate new tools and assist clients in building complex BI landscapes while sharing your expertise and designing and delivering innovative seminars.

In this role, you will develop tailored data models, implement ETL pipelines for data integration, ensure data quality, and work with technologies like Spark and cloud services to efficiently process large datasets.

In this role, you will develop tailored ETL/ELT solutions for clients in the financial sector, create specific reports and dashboards, and work on innovative data models as well as modern technologies.

In this role, you will develop tailored software systems and lead projects through all phases of the software development process using current technologies and methodologies like SCRUM and TDD.

In this role, you will develop ETL/ELT paths from various source systems, create data models, and lead projects. Moreover, you will support new technologies and provide training and mentoring for students.

In this role, you will develop complex ETL/ELT pipelines using Talend, optimize data integration solutions, and ensure stable operation and quality of the data integration service in a cloud environment.

In this role, you develop and operate modern data platforms on Azure Databricks, design scalable ETL processes, integrate data sources, and ensure high data quality and data governance.

In this role, you will implement ETL processes based on business requirements, monitor ETL jobs, and optimize existing middleware applications for our Data Warehousing.

In this role, you will uncover various data sources, develop ETL/ELT processes, and build data models while leading teams and implementing innovative technologies to enhance our data products.

In this position, you develop data pipelines using tools like dbt and Fivetran, advise clients on Snowflake features, analyze data with the Snowflake AI Suite, and collaborate closely with various teams.

You will advise our customers on the architecture, implementation, and use of intelligent data solutions with the Snowflake AI Data Cloud (such as DataMesh, Datasharing, Marketplace). As an architect, you will design future-proof cloud data...

Understand requirements and advise customers: In collaboration with the specialist departments, you will develop concrete requirements for the data pipelines and advise our customers on best practices and Snowflake data engineering features (such as...

You design, develop, and maintain robust data pipelines as part of your role, facilitating the collection, transformation, and storage of data from various internal and external sources. Creating a robust data model for flexible data analysis in our...