

What you’ll do:
As a Data Analyst & Reporting Expert you will:
· Closely work with our Security & Risk Management Leadership team and our DevOps teams and enable them to build and operate secure and compliant software.
· You will apply your knowledge in data analysis and reporting design, to support our security reporting needs by addressing various business problems. By developing, and testing of software and scripts, as well as data evaluation, your work will enable accurate, scalable reporting for audits, KPIs, and strategic tracking and improve our impact of security initiatives.
Hereby you will drive projects, define deliverables and provide advice and interpretation of situations to the higher management to ensure business critical & innovative results.
What you bring:
· University degree in Computer Science, Data Science, Mathematics, Physics, Software Engineering, Business Economics, Business Management or other adequate qualifications
· Hands-on experience developing scalable, cloud-based web applications, data analysis & processing ideally with Python
· Experience in data analysis, machine learning algorithms, statistical modelling and data visualization e.g. with SAP Datasphere, SAP Analytics Cloud, PowerBI
· Solid knowledge in GenAI, Large Language Models, Agentic AI frameworks and their application are an asset
· Knowledge in cloud technology as well as lean or agile DevOps practices and development frameworks are an asset
· Basic knowledge in security is an asset
· Proactive mindset, strong ownership and team spirit
· Fluent English language skills, both spoken and written
Successful candidates might be required to undergo a background verification with an external vendor.
AI Usage in the Recruitment Process
For information on the responsible use of AI in our recruitment process, please refer to our
Please note that any violation of these guidelines may result in disqualification from the hiring process.
Job Segment:Data Analyst, Cloud, User Experience, Test Engineer, ERP, Data, Technology, Engineering
משרות נוספות שיכולות לעניין אותך

What you`ll do
The Role
In this role, you will drive internal AI adoption across different Lines of Business (LOBs) within the company. You will collaborate with other engineers to develop AI services, taking projects from proof of concept to full production deployment. This position involves close partnership with AI Platform engineers and stakeholders from various departments. You will work with cross-functional teams to contribute to our evolving AI-first tech stack, address diverse and rapidly changing challenges, and thrive in a fast-paced environment that offers continuous learning. Additionally, you will help define and promote best practices for AI engineering excellence throughout the organization.
Responsibilities
Lead and develop AI services from PoC to Production
Setup and develop new Big Data pipelines, to productize data ETL workloads for different AI services.
Develop GenAI/AgenticAI solution designs
Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
Productionize AI PoCs with good software engineering by incorporating CI/CD pipelines, deployment and MLOps/LLMOps.
Take ownership over AI services in development and production
Guide and mentor junior colleagues and evolve their AI engineering skillset
What you bring
Bachelor's or master's degree in machine learning, computer science, engineering, or related technical fields
Vast coding knowledge in Python
Knowledge of Distributed Computing Systems for Big Data Engineering such as Databricks (PySpark/Scala) is beneficial
Exceptional understanding and coding experience of genAI/ agenticAI frameworks such as crewAI / langgraph etc.
Proven hands-on expertise in code-based LLM consumption from platforms such as OpenAI or Huggingface
Track record of using Python backend development frameworks such as e.g. Flask, Django, Quart or FastAPI
Vast general software engineering best-practices (e.g. Object-Oriented Programming) and experience working in a scrum-like software engineering unit.
Productization technologies and tools such as Docker, K8s, GitHub, VSCode, Linux etc.
CI/CD and ML Ops frameworks such as Jenkins, GitHub Actions, MLFlow, etc.
Cloud-deployment offerings such as Azure ML, Databricks, AKS, Event Hubs, Azure Data Factory, Azure Functions or similar in AWS / GCP
Some form of code ownership and scrum team leadership experience
Curiosity to learn about different AI applications and new technologies in general
Excellent spoken and written knowledge of English as well as collaborative mindset
Experience with SAP AI offerings e.g. AI Core, AI Business Services, Joule etc. is a plus
Understanding of Agile / Scaled Agile (SAFe) methodologies is a plus
We win with inclusion
Successful candidates might be required to undergo a background verification with an external vendor.

What you`ll do:
As project and process management expert, you will be part of the Hyperspace Product Management Solutions team in Sofia. The team will have a further location in Walldorf. The team will be working with experts from SAP Engineering around the world, like product managers, UX designers and architects
What you bring:
Successful candidates might be required to undergo a background verification with an external vendor.

What you’ll do
What you bring
Job Segment:Payroll, Developer, Testing, Cloud, Java, Finance, Technology

What you'll do
What you bring
We win with inclusion
Successful candidates might be required to undergo a background verification with an external vendor.
Job Segment:Testing, ERP, Cloud, Database, SQL, Technology

Important information:
What you'll do
Some of the core functions are
What you bring
Due to the nature of the role, which involves global interactions with SAP entities, as well as with employees and stakeholders in Canada, functional proficiency in English is required for positions based in the Quebec.
AI Usage in the Recruitment Process
For information on the responsible use of AI in our recruitment process, please refer to our
Please note that any violation of these guidelines may result in disqualification from the hiring process.
Job Segment:Compliance, ERP, Cloud, Developer, Solution Architect, Legal, Technology

What you`ll do:
We also believe that in an agile team, architecture is not a single role, but the result of collaboration, with architect being a trustful partner of your product owner in finding the fastest way to reach a business goal. In the team, you will also take over concrete programming tasks yourself.
What you bring:
We also expect that you share our 7 core values that are described .
Successful candidates might be required to undergo a background verification with an external vendor.
Job Segment:Solution Architect, Developer, Cloud, ERP, Architecture, Technology, Engineering

What you’ll do:
As a Data Analyst & Reporting Expert you will:
· Closely work with our Security & Risk Management Leadership team and our DevOps teams and enable them to build and operate secure and compliant software.
· You will apply your knowledge in data analysis and reporting design, to support our security reporting needs by addressing various business problems. By developing, and testing of software and scripts, as well as data evaluation, your work will enable accurate, scalable reporting for audits, KPIs, and strategic tracking and improve our impact of security initiatives.
Hereby you will drive projects, define deliverables and provide advice and interpretation of situations to the higher management to ensure business critical & innovative results.
What you bring:
· University degree in Computer Science, Data Science, Mathematics, Physics, Software Engineering, Business Economics, Business Management or other adequate qualifications
· Hands-on experience developing scalable, cloud-based web applications, data analysis & processing ideally with Python
· Experience in data analysis, machine learning algorithms, statistical modelling and data visualization e.g. with SAP Datasphere, SAP Analytics Cloud, PowerBI
· Solid knowledge in GenAI, Large Language Models, Agentic AI frameworks and their application are an asset
· Knowledge in cloud technology as well as lean or agile DevOps practices and development frameworks are an asset
· Basic knowledge in security is an asset
· Proactive mindset, strong ownership and team spirit
· Fluent English language skills, both spoken and written
Successful candidates might be required to undergo a background verification with an external vendor.
AI Usage in the Recruitment Process
For information on the responsible use of AI in our recruitment process, please refer to our
Please note that any violation of these guidelines may result in disqualification from the hiring process.
Job Segment:Data Analyst, Cloud, User Experience, Test Engineer, ERP, Data, Technology, Engineering
משרות נוספות שיכולות לעניין אותך