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.