Data Platform Lead

Our requirements

• 7+ years of experience in Data & Analytics, including BI, data engineering, and exposure to AI technologies.
• 2+ years of hands-on experience with cloud data platforms such as SAP Datasphere, Microsoft Fabric, Databricks, or Snowflake.
• Strong expertise in SQL, data modelling, ETL/ELT, data integration, and enterprise BI tools (SAP Analytics Cloud, Power BI, or similar).
• 2+ years of experience delivering AI/Generative AI solutions within the Microsoft ecosystem, including Copilot Studio and production RAG solutions.
• Hands-on experience with Microsoft Power Platform (Power Automate, Power Apps, Dataverse, Custom Connectors).
• Good understanding of LLMs, prompt engineering, AI agents, orchestration, and AI governance.
• Programming skills in Python or C#.
• Experience in technical leadership, end-to-end solution delivery, and stakeholder management.
• Fluent English and experience working in international environments.

Optional

• Experience with SAP technologies (Datasphere, SAC, S/4HANA, BW/4HANA).
• Knowledge of Azure AI Foundry, Azure OpenAI, Azure AI Search, Semantic Kernel, or LangChain.
• Familiarity with CI/CD, DevOps, Agile methodologies, and tools such as Azure DevOps or Jira.
• Experience in manufacturing or industrial environments and working with external vendors.

Your responsibilities

• Take technical ownership of enterprise Data & Analytics solutions, leveraging modern cloud platforms such as SAP Datasphere, Microsoft Fabric, Databricks, or Snowflake.
• Design and implement scalable data architectures, including data models, ETL/ELT pipelines, data integrations, and warehouse/lakehouse solutions.
• Develop and optimise business intelligence solutions using SAP Analytics Cloud, Power BI, or equivalent BI platforms.
• Integrate SAP and non-SAP enterprise data sources to support reporting, analytics, and AI initiatives.
• Identify and evaluate AI opportunities in collaboration with business and technology stakeholders.
• Design, develop, and deploy Generative AI solutions, RAG pipelines, and intelligent AI agents within the Microsoft ecosystem.
• Build and implement AI agents using Microsoft Copilot Studio, integrating them with Power Platform, Microsoft 365, and enterprise applications.
• Leverage Power Automate, Power Apps, Dataverse, and Custom Connectors to develop integrated AI and automation solutions.
• Develop reusable components, APIs, and integrations using Python or C#.
• Ensure AI solutions are production-ready, including orchestration, governance, monitoring, performance optimisation, and security.
• Lead Data & AI initiatives from initial concept and proof of concept through production deployment.
• Provide hands-on technical leadership, mentor team members, and guide technical decisions.
• Translate business requirements into scalable technical solutions and collaborate with stakeholders across international teams.
• Drive continuous improvement, innovation, and adoption of modern analytics and AI technologies.

About the project

This is how we organize our work

This is how we work on a project

• Continuous Deployment
• Continuous Integration
• DevOps

NEXA SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ