Reporting & Business Intelligence – Microsoft Power BI & Fabric at Carl Schlenk AG
Berlin, Berlin, Germany -
Full Time


Start Date

Immediate

Expiry Date

02 Feb, 27

Salary

80000.0

Posted On

04 Nov, 26

Experience

7 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Industry

Information Technology & Services

Description

This is what you can expect

  • You will shape the future of our software lima by defining and further developing the software and target architecture for products, platform and AI-supported software development in the energy industry.
  • You will further develop the application architecture as well as the architecture of our development, testing, documentation and operational processes, and integrate suitable AI functionalities.
  • You evaluate AI coding assistants, AI agents and modern development methods early on, introduce suitable solutions and anchor them sustainably to improve productivity, quality and time-to-market.
  • You are responsible for architectural decisions and develop standards, best practices and governance models for scalable, maintainable, secure and compliant software solutions.
  • You will shape the transformation to an AI-supported software organization, accompany, coach and empower our development and architecture teams, and promote a sustainable culture of innovation.
  • Remuneration is based on the collective agreement for public utilities (TV-V).

This is what you bring with you

  • You have several years of experience as a software architect, lead developer or principal engineer in complex enterprise software landscapes.
  • You have in-depth knowledge of modern software architectures and experience with business-critical applications.
  • You have practical experience with AI-supported development tools, for example GitHub Copilot, OpenAI, Claude or similar solutions.
  • You have experience in introducing new technologies and supporting organizational changes, and you enjoy empowering development teams and working together to develop better solutions.
  • Ideally, you also have experience with cloud platforms, Kubernetes, DevOps and CI/CD, as well as knowledge of LLMs, Agentic AI, RAG, Prompt Engineering, AI-powered automation, AI governance, or Responsible AI. Experience in the energy sector is also a plus.


Responsibilities
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