Data Engineer Jobs in Austria

In this role, you will be responsible for the architecture and development of the Common Data Platform on Google Cloud, building decentralized data products, and establishing standards for data governance and security.

In this role, you develop robust data pipelines and models from diverse sources, optimize data flows using SQL and Python, and ensure data quality for informed analysis.

In this role, you will develop powerful data pipelines and ETL/ELT processes using Databricks and Google BigQuery, work on cloud integrations, and foster data modeling in the team to solve complex data challenges.

In this role, you design and implement cloud-based infrastructures for data-processing workloads in AWS, automate processes, and support engineering teams in optimizing platform services and best practices.

In this role, you will develop data processing pipelines and work on integrating software systems to prepare large amounts of data for analysis and efficiently integrate them into applications.

In this role, you manage a Data Integration Platform, coordinate operations, ensure SLA compliance, and collaborate closely with architecture and product management.

In this role, you take responsibility for developing and implementing scalable data and AI architectures and support clients throughout the data and AI lifecycle, from feasibility assessment to implementation.

In this role, you will develop data-driven strategies for clients, analyze business processes, formulate requirements, and guide projects from ideation to implementation through workshops and meetings.

In this role, you identify and analyze problems, develop modern algorithms, and optimize solutions in an agile environment, often collaborating with clients and technology partners. You implement relevant projects and automate workflows.

In this role, you will design scalable data pipelines to process telemetry data from ESLs and EdgeSense devices while developing data models and workflows for analytics and reporting on modern cloud platforms.

In this role, you conduct workshops with clients, translate their requirements into technical concepts, and implement data solutions using Power BI and Microsoft Fabric for effective data analysis and reporting.

In this role, you will build scalable ETL/ELT processes on Google Cloud, optimize BigQuery queries, and implement data architectures and real-time processing using Dataflow and Pub/Sub.

In this job, you integrate data and develop Data and BI solutions on Microsoft platforms such as Power BI and Azure to create tailored reports and promote sustainable data architectures.

In this role, you will develop scalable data and AI solutions using Databricks and Azure, build ETL pipelines, and create modern lakehouse architectures for data integration and analysis.

In this role, you will develop custom apps and automated data pipelines to facilitate complex data analyses and ensure stakeholders can understand simulation results.