Pyspark Jobs in Austria

In this role, you develop client-specific Data Engineering solutions and lead the project team in Azure Cloud while mentoring colleagues and staying informed about trends in the Data Analytics field.

In this role, you advise clients on data technologies, design tailored solutions in Cloud Data Engineering, and take on responsibilities as a technical lead for projects using Azure, Databricks, and Python.

In this role, you will develop scalable ETL pipelines, create interactive dashboards, and work on data products on Databricks while collaborating closely with various departments and ensuring data quality.

In this role, you will develop robust data pipelines using PySpark and SQL on Databricks, integrate GenAI capabilities, and take ownership of the architecture of data solutions.

In this role, you will develop AI-based features from the conceptual phase to deployment and monitor their evolution, while implementing robust data pipelines for large data volumes.

In this role, you will develop modern ELT pipelines on the MS Fabric Data Platform and support key users in report creation, while monitoring data quality and implementing business unit requirements.

In this role, you design cloud-based data platforms, implement ETL/ELT pipelines, build dashboards, and optimize data quality while collaborating with Data Scientists and Analysts.

In this role, you will develop data-driven products on Databricks, design ETL/ELT pipelines, create interactive dashboards and optimize data processes in collaboration with data scientists and analysts.

In this role, you will develop tailored data engineering solutions in the cloud, take technical responsibility for projects, and support your team through mentoring and knowledge sharing.

In this role, you will develop scalable gRPC and REST APIs and modern React interfaces, work on data pipelines, and implement best design practices within a cross-disciplinary team.