Wavestone

Analytics Engineer

• Explore current Advanced Analytics topics, including the modern data stack, unified data platforms, Advanced Analytics algorithms, and Data Mesh
• Study the related technology tools and methodologies
• Deliver a concrete use case and write a summary article for internal sharing and/or publication through Wavestone’s channels
• Actively participate in client engagements as part of project teams
• Analyze business challenges and contribute to defining relevant performance indicators
• Contribute to the deployment of robust analytics solutions
• Develop expertise in the BI and Analytics solutions and platforms available on the market
• Contribute to the firm’s internal activities
• Help drive and develop the Data, Analytics & AI offering
• Write thought leadership content, including articles and presentations
• Participate in recruitment, university relations, and training initiatives
• Build technical demonstrators and test new Data & Analytics solutions

Data Platform, Analytics Engineering, Data for AI

• Evaluate whether approving VF11 cancellation after successful KSeF submission via custom intervention or enhancement is functionally and technically justifiable
• Assess compliance, audit security, SAP supportability, maintenance effort, and future S/4HANA migration risks
• Analyze existing alternative solutions and formulate a justified recommendation
• Develop a solution proposal for the debit note mapping conflict, considering Polish legal requirements
• Develop a solution approach for invoice reference in VAT reporting JPK_V7M to avoid manual corrections for currency and regulator adjustments
• Create a rough effort, architecture, solution outline, and timeframe estimate for the recommended option
• Support potential implementation of the recommended solution

SAP DRC, KSeF Expert

Data Engineer

• Design and implement modern data platforms and data engineering solutions, including data pipelines, lakehouse architectures, semantic data models, and data products
• Bridge Data Engineering and AI Engineering, focusing on RAG architectures, Conversational BI, AI-powered data products, and LLM-based applications
• Develop and integrate AI agents and agentic components for pipeline development, data quality, automation, monitoring, and self-service analytics
• Use Microsoft Azure, Microsoft Fabric, Databricks, Snowflake, and dbt to build scalable data and AI solutions
• Design end-to-end architectures across the data lifecycle, from source systems and integration through transformation, governance, quality assurance, and consumption
• Advise clients on technology selection, target architectures, migration strategies, platform modernization, and AI integration into data strategies
• Own workstreams or projects, ensuring pragmatic execution, technical excellence, and measurable business value
• Contribute best practices, reusable assets, technical standards, and innovation initiatives to the Data & AI portfolio

Senior Consultant, AI Data Engineering – Microsoft Azure

Chief Technology Officer

• Study use cases and the impact of AI-powered features, particularly generative AI, on developers’ activities in enterprise environments
• Draft a scoping document defining the scope of the study, research questions, and deliverables
• Identify AI use cases and feature categories for developers, including code generation, code review and optimization, vulnerability identification, and solution design
• Define expected benefit metrics and prioritize AI use cases
• Identify risks associated with AI services and AI-performed activities
• Analyze the impacts on the company’s activities, roles, teams, and operating models
• Design solutions and best practices for adopting AI services in software development
• Assess solutions and best practices against market realities and those of client companies
• Contribute to clients’ operational engagements
• Support the development of CTO Advisory expertise, particularly business development and the preparation of commercial proposals
• Produce market maps of responsible digital technology players
• Develop responsible digital technology awareness materials for employees
• Participate in the firm’s internal activities and events

Data Platform, Analytics Engineering, Data for AI

SAP DRC, KSeF Expert

Senior Consultant, AI Data Engineering – Microsoft Azure

CTO Advisory Consulting Internship – Coding with AI