Sql állások Németországban (it programozás, fejlesztés)

In this role, you'll have the opportunity to develop modern user interfaces using Blazor Server and implement business logic in C#/.NET. You'll directly contribute to real products and practical solutions, taking on responsibility from day one in a dynamic work environment with individual...

• Support pipeline management and forecasting improvements for different business divisions using available data sources.
• Develop and maintain analytical tools and digital platforms to improve efficiency and self-service capabilities across the organisation.

• You support data analytics activities using KNIME, Excel and other analytical tools.
• You analyse large datasets, identify patterns, anomalies and potential risks, and help translate data into meaningful audit insights.

Partner with Marketing: Act as a strategic partner to the Marketing organisation and advocate for data-driven decision-making by effectively communicating AI strategy and its alignment with business objectives....

• Building and extending our Platform Services and Booking Systems
• Designing, developing, and maintaining a robust transactional API platform, that will be used internally and directly by 3rd parties
• Using AI tools to enhance the development process
• Participating in code reviews and pair programming

You will be involved in the development of holistic (digital) customer solutions for charging services and charging infrastructure in all use cases...

• Build the backbone of Circonomit's technology and develop end-to-end features that deliver immediate value for our customers to map their reality into a semantic and computable model
• Build and refine high-quality, performant user interfaces with TypeScript and Solid.js

• Own day-to-day administration, maintenance, and governance of the Pigment planning platform
• Monitor platform performance, troubleshoot issues, and coordinate with Pigment product, success and support teams aligning on feature rollouts, and actively tracking/absorbing technical requirements

Act as a key expert for SAP S/4HANA data migration projects, with particular focus on Material Master and Production Master (I.e., BOMs, Work Centers, Routings and Production Versions)....

• ensure that our Private Cloud landscape is equipped with robust, efficient, secure, and scalable custom developments.
• You will collaborate closely with functional experts, architects, integration teams, and business stakeholders to turn requirements into clean, stable, and maintainable SAP solutions.

• Architect complex data flow solutions, enabling transparent, versioned, and fully auditable computations
• Design the data layer by developing metadata and data lineage models fused by semantic graphs and numerical data

Why Now? The energy market is going through its biggest shift in 50 years. We no longer just manage electricity, we make it intelligent. RABOT is growing triple digits — and as we grow, so does our Energy Data Management team. Now is the perfect time to join: you won't learn inside a finished...

• You are fully independent within our codebase.
• You ship complex tasks, weigh technical tradeoffs against business timelines and perform sharp code reviews that elevate your peers' implementations.
• You provide strategic insights to platform team leadership.

Design, build, and operate database integrations and RESTful APIs for system and frontend integration, contributing to the conception and implementation of backend architectures for business applications....

• Independently lead and drive end-to-end development of modern, robust, and scalable web applications from requirements to production.
• Take ownership of architectural decisions and proactively identify technical improvements, risks, and opportunities.

Design and maintain scalable dashboards that empower the Commercial Solutions team to make faster, data-driven decisions around pricing and commercial product performance...

• Act as the central data expert and Business Data Steward for the German Mortgages business.
• Analyse customer, product, portfolio, channel and risk data to provide insights, identify trends, detect anomalies and support business decision-making.

Lead the installation, configuration, maintenance, and performance optimization ofMS SQL Server,PostgreSQL, andOracle databasesin a dynamic, enterprise-level setting, ensuring reliability and excellence at every step....

Analysis of the data ecosystem: assessment of data systems, interfaces and data quality; evaluation of security / privacy and interoperability (data-level to user-level)...

• Define and execute the reporting and analytics transformation roadmap (towards lean target setup)
• Establish a scalable target architecture from data source through modelling and semantic layer to reporting frontend