Antal

SAP Data AI Lead

25k - 30k PLN25 000 - 30 000 PLN/ mies./ mies.UoPUmowa o pracę (brutto)

SeniorHybryda·WarszawaFull-time·Umowa o pracę

#461245·Dodano 25 dni temu·7

Źródło: Antal

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Tech Stack / Keywords

SAP Datasphere SAP Analytics CloudSAP Business Data CloudPython SQLMicrosoft Copilot StudioRAGDatabricksPower PlatformGit

Podsumowanie oferty

You will own the SAP analytics platform and build AI solutions for it across an international organisation. The hands-on role includes data modelling, developing RAG pipelines and AI agents, and setting standards using SAP Datasphere, SAP Analytics Cloud and Python.

Wymagania

University degree in Computer Science, Business Informatics, Information Systems, Data Science, Mathematics, Engineering or a related field.
Minimum of 7 years of professional experience in data and analytics, with a career start in BI / analytics and a subsequent move into AI.
Hands-on expertise in SAP Datasphere (spaces, Data Builder, views, analytic models, replication and federation flows, task chains) and SAP Analytics Cloud (models, stories, analytic applications, live and import connections, row-level security).
Working understanding of SAP Business Data Cloud, including data products, foundation services and the interplay between SAP Datasphere, SAP Analytics Cloud and Databricks.
Strong data modelling and SQL skills, including semantic layer design, performance tuning and data quality.
Hands-on programming experience in Python for data and AI workloads, with Git-based version control and testing.
Practical experience with Microsoft Copilot Studio: agents, topics, knowledge sources, actions and connectors, Power Platform integration and deployment governance.
Demonstrated experience building RAG pipelines and taking AI agents into production, including orchestration, tool calling, guardrails, observability and evaluation.
Solid understanding of LLM fundamentals: prompt engineering, context management, structured output, model selection and hallucination mitigation.
Experience leading a workstream, squad or small team, including technical guidance and quality assurance of the work of others.
Awareness of AI and data governance requirements such as GDPR, the EU AI Act and responsible AI principles.
Certifications in SAP Datasphere / SAP Analytics Cloud and in AI (e.g. Microsoft AI-102, Copilot Studio credentials).
Fluent English.

Nice to have:

German.
Power Platform is an advantage.

Obowiązki

Own the architecture, development and operation of the analytics platform based on SAP Datasphere and SAP Analytics Cloud within SAP Business Data Cloud.
Design and build data models, views, analytic models, replication and federation flows, and task chains, integrating SAP S/4HANA, SAP BW/4HANA and non-SAP sources.
Develop and maintain SAP Analytics Cloud models, stories and analytic applications, ensuring performance, usability and consistent KPI definitions across business functions.
Identify, qualify and prioritise AI use cases with the business, including feasibility, value and risk.
Design, build and productionise RAG pipelines, including ingestion, chunking, embeddings, retrieval, re-ranking, grounding and evaluation of answer quality.
Build, deploy and maintain AI agents in Microsoft Copilot Studio and comparable frameworks, and integrate them into Teams, M365 and core enterprise systems.
Develop reusable Python components, APIs and services, applying version control, testing, code review and CI/CD practices.
Establish evaluation, monitoring, logging and guardrails so AI solutions are measurable, traceable, cost-controlled and safe to operate.
Take use cases from proof of concept into production, documented and properly handed over to operations.
Provide technical leadership and mentoring to team members, key users and external partners, including design and code reviews.
Maintain the analytics and AI roadmap and work with Data Protection, Information Security and Legal to meet GDPR, the EU AI Act and internal requirements.
Build analytics and AI literacy across the organisation through training, documentation and communities of practice.

Benefity

A role with genuine end-to-end ownership: shape the analytics and AI landscape and stay hands-on in building it.
The chance to move AI beyond pilots, with a clear mandate to put use cases into productive operation.
A modern SAP data stack (SAP Datasphere, SAP Analytics Cloud, SAP Business Data Cloud) combined with the Microsoft AI ecosystem.
Close collaboration with business functions, IT, Information Security and Data Protection across an international organisation.
Time and budget for training and certification.

Dofinansowanie szkoleń

Antal

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