Data science állások, munkák it programozás, fejlesztés területen

As a Software Engineer you will typically work in project teams of 5-10 people and gain experience in different roles throughout the life cycle of a software development project....

• Support the development and evolution of the ERP target picture and ERP strategy for T-Systems
• Evaluate and assess complex SAP system landscapes with focus on consolidation, integration, harmonization, and retirement decisions

• Become familiar with our technology stack and learn everything about the high-level job market and our job classification framework.
• Research and select the most high-level jobs and classify them according to our key criteria.

• Developing software for controlling and configuring a large camera system consisting of multiple units
• Developing a system for receiving detector data at high speed on a set of data acquisition PCs, in collaboration with experts in hardware acceleration

• Improvement of operational efficiency through process optimization, automation, and adoption of new technologies
• Understanding of the company's data warehouse and alignment of data flows with reporting requirements

• Developing multi-scale and multi-modal representation learning methods for scientific imaging data (e. g., SEM, TEM, EBSD).
• Learning representations that are robust to scale changes, modality shifts, and domain differences across instruments and laboratories.

Own the AI platform – take end-to-end ownership of Roland Berger's AI ecosystem, including the AI orchestration layer, AI agent frameworks, LLM integrations, and model routing infrastructure; shape the platform roadmap, own the platform budget, and drive build-vs-buy decisions in alignment with IT...

• Platform ownership and enhancement of the OneStream platform focusing on financial reporting, planning, and analysis capabilities
• FP&A enablement through translation of business requirements into robust system solutions supporting budgeting, forecasting, consolidation, and reporting processes

• Research and identify suitable prediction approaches, including kinematic and dynamic models, Kalman filters, regression techniques, data-driven methods, and hybrid approaches
• Implement prototypes in Python and integrate selected methods into C++ applications where appropriate

• Design, develop and maintain scalable integration services within a modern container-based banking platform
• Contribute to strategic integration initiatives involving real-time data exchange and event-driven architectures

Develop and execute ALTANA“s procurement digitalization strategy using digital technologies, data, and AI to improve performance, value creation, and drive the long-term evolution of the global procurement organization...

Collaborate on and execute the product strategy for selected software, SaaS, and AI products, from roadmap and development priorities to launch and continuous improvement....

• Build and maintain dataset ingestion, cleaning, and versioning pipelines
• Design and operate labeling workflows including quality control and inter-annotator agreement tracking
• Own dataset testing including coverage analysis, class balance, leakage detection, and dataset documentation

• You design and implement a cloud-native, multi-tenant and secure asset monitoring platform for distributed fiber optic sensing solutions
• You build robust, secure and observable platform components, data models, interfaces and APIs

Together with global process owners, data domain owners and business stakeholders, you establish and continuously enhance enterprise-wide master data lifecycle management for domains such as material master and business partner data...

• Review and verify map, business, address, and location information
• Research information using online maps, search engines, directories, and reliable sources
• Compare information from different sources and determine which result is most accurate

• Support KPI governance across core supply chain metrics including Inventory Above/Below Entitlement, Slow-Moving Inventory, End-of-Life Inventory, Delivery, and Quality
• Refresh, validate, and prepare data required for the monthly governance cycle

Our Berlin Technology Centre has a strong focus on promoting technical excellence – our engineers work at the forefront of financial services innovation using cutting-edge technologies. You will work alongside the brightest minds in the business, as you develop your digital skills and explore where...

• Design, development, testing, deployment, and maintenance of scalable and robust software solutions
• Collaboration with product owners, business analysts, and other stakeholders to understand requirements and translate them into technical specifications

• Lead the design and implementation of scalable data pipelines and Lakehouse architectures
• Act as the design authority
• Solve the hardest technical challenges including optimizing high-load streaming pipelines, debugging complex Spark jobs, and designing generic frameworks