6 job openings found.
Raiffeisen Bank International AG·Vienna
In this role, you analyze regulatory requirements and translate them into specific data requirements, ensuring data quality management and automating complex datasets using Databricks.
In this role, you will develop and maintain scalable data pipelines, integrate data from various sources, and support the implementation of regulatory requirements through automation and testing.
SQUER ·Vienna
In this role, you lead migrations from legacy systems to modern data architectures, design robust data pipelines, and ensure a smooth transition through data modeling and quality assurance.
Erste Bank·Vienna
In this role, you will develop robust ETL/ELT solutions and design data platform architecture to efficiently process and analyze credit risk-related data.
Zühlke Engineering (Austria) GmbH·Vienna
In this role, you design, implement, and maintain data pipelines, collaborating closely with clients to develop tailored solutions that drive business insights and successfully tackle their data challenges.
RHI Magnesita·Vienna
In this role, you take technical ownership of the Databricks platform, implementing new features and optimizing architecture for scalability and security while actively collaborating with Data and Cloud Engineers.
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In this role, you will develop data-driven solutions on the Databricks platform using PySpark and Delta Lake, optimize data pipelines, and ensure data quality throughout the process.
Post AG·Vienna
In this role, you will design scalable data pipelines and lakehouse architectures on Azure Databricks to optimize Machine Learning workflows and automate business processes for increased efficiency.
UNIQA Insurance Group AG·Vienna
In this role, you will develop data integrations and APIs, design ETL/ELT processes, and enhance the quality of the enterprise data layer. You will work with tools like Databricks and Delta Lake to promote data-driven decision-making.
Hutchison Drei Austria GmbH·Vienna
In this role, you will develop machine learning models to solve real business problems and work with complex datasets while closely collaborating with interdisciplinary teams.
In this role, you will develop modern data pipelines on Databricks, optimize ML workflows for Generative AI, and implement intelligent data access solutions for effective enterprise applications.
In this role, you will develop scalable data pipelines and lakehouse architectures on Databricks to process and serve structured and unstructured data for ML and Generative AI use cases.
paiqo GmbH·Vienna
In this role, you will design modern lakehouse platforms, implement data management strategies, and execute projects with Azure services to support AI initiatives and establish governance processes.
In this role, you define technical strategies for data platforms on Azure, develop Lakehouse standards, and coordinate projects to ensure governance and compliance.
Porsche Informatik GmbH·Salzburg, Vienna
In this role, you will develop data pipelines using Azure Databricks, orchestrate them with Azure Data Factory, and optimize the Lakehouse architecture on Microsoft Azure while collaborating closely with BI developers and data analysts.