Data engineer f m d állás, munka

Work in cross-functional agile teams alongside data scientists, machine learning engineers, product managers, and industry experts to innovate with clients and consulting teams Develop new or enhance existing assets Design and build robust, modular, scalable, and secure data pipelines for machine...

• Contribute to the development of Gen/Agentic AI and Data solutions
• Get practical experience in implementation operation of AI Use cases across various business areas within Allianz Re
• Explore and ensure the quality of our comprehensive databases.

• Research, design, and implement complex product features and functionalities for cutting-edge cloud technologies as part of SAP Business Technology Platform
• Commit to project timelines and tasks, deliver on time, in scope, and with high, uncompromised quality

Design and develop scalable data architectures for integrating our tailored and standard software solutions into our clients' environments, collaborating with professional services, software engineering and cloud operations....

• Support the team across the entire project lifecycle, from data exploration and feature engineering to applying machine learning techniques and supporting applications.
• Contribute to innovative solutions in financial crime prevention and credit risk assessment.

You will focus on one or more of the following topics: - Contribute to the design of antennas, phased arrays, and CATR subsystems (reflectors, feeds) using CST Microwave Studio. - Develop calibration and post processing algorithms (e.g., quiet zone characterization, near field to far field...

Design and develop machine learning models and algorithms for various applications. Test and evaluate the performance of these models and algorithms. Collaborate with the applied science teams to develop and implement NLP solutions for processing large document sets. Develop and support semantic...

• Develop, monitor, and document data pipelines in Azure Data Factory and Databricks.
• Assist in data analysis and troubleshooting to ensure smooth data flow across the platform.
• Build Power BI reports and contribute to new data models used by the business.

Design, code, review and test assigned features and user stories, in accordance with the agile methodology employed by Diligent Collaborate with the product owner and engineering manager in the analysis and documentation of technical requirements and user stories for assigned features Assist with...

• Design and lead development of AI products for business-specific use cases.
• Mentor and guide the software engineering team, setting clear technical directions and providing architectural oversight.

• Design, configure, and optimize interactions with LLMs through retrieval-augmented generation (RAG), and orchestration.
• Implement tool-calling patterns to integrate LLMs with SaaS tools and APIs.
• Leverage fine-tuning or parameter-efficient techniques for performance enhancement.

• You support the development and implementation of BI solutions.
• You conduct data analyses to identify trends.
• By presenting complex data clearly and understandably, you assist us in creating reports.
• You assist in designing and optimizing data architectures.

• Design, develop and maintain interactive Power BI reports and dashboards to support various business functions
• Implement automated reporting workflows based on predefined thresholds, alerts, and KPIs to proactively notify stakeholders of key business changes

• As a (Senior) Manager (m/f/d) you will independently work on commercial business processes of our customers and map them in their SAP systems
• You will be responsible for the continuous and further development of the system landscape as well as the interface development

• Orchestration, deployment and administration of the open source software services developed at OSL.
• Design, development and implementation of data workflows within the above-mentioned software tools.
• Design, development and maintenance of software extensions within the above-mentioned software tools.

• Integrate an existing monitoring framework into our autonomous driving stack
• Apply monitoring during motion planning
• Review the temporal logic specifications of the highway traffic rules and possibly adapt them