Wavestone

About the Company

Wavestone is a consulting powerhouse, dedicated to supporting strategic transformations of businesses and organizations in a world that is undergoing unprecedented change, with the ambition to create positive and long-lasting impacts for all its stakeholders.

Drawing on more than 5,500 employees in 17 countries across Europe, North America and Asia, the firm offers a 360deg portfolio of high-value consulting services, combining seamlessly first-class sector expertise with a wide range of cross-industry capabilities.

Wavestone is listed on Euronext Paris and recognized as a Great Place to Work(r).

Listed Jobs

Company Name

Wavestone

Job Title

Data Engineer Manager

Job Description

**Job Title** Data Engineer Manager **Role Summary** Lead and manage enterprise‑scale data engineering initiatives that drive AI and analytics capabilities for C‑level clients. Blend strategic data vision with hands‑on engineering to design, implement, and optimize scalable data platforms on cloud (Azure, AWS, GCP, Snowflake). Mentor consultant teams, shape firm data offerings, and contribute to business development through proposals and thought leadership. **Expectations** - 7+ years in data engineering, with at least 3 years in a leadership or consulting role. - Proven track record of delivering end‑to‑end data solutions that deliver measurable business value. - Strong client‑facing experience, advising senior stakeholders on data strategy, architecture, and technology adoption. - Deep knowledge of cloud data platforms, big‑data frameworks, and data governance. **Key Responsibilities** 1. Lead complex data engineering and digital transformation engagements from strategy to implementation. 2. Advise C‑suite and senior stakeholders on data strategy, architecture, governance, and technology adoption. 3. Architect and launch enterprise‑scale data platforms, pipelines, and cloud‑native solutions (Azure, AWS, Snowflake, Databricks, etc.). 4. Oversee and optimize ETL/ELT processes, data integration, and data quality frameworks for large, complex organizations. 5. Translate business objectives into actionable technical roadmaps, balancing innovation, scalability, and operational excellence. 6. Mentor and develop consultants and client teams, fostering technical excellence and continuous learning. 7. Drive business development: shape proposals, lead client pitches, and contribute to thought‑leadership content. 8. Maintain awareness of emerging technologies, AI/ML trends, and industry best practices. **Required Skills** - Strategic data leadership: data strategy, governance, architecture at enterprise scale. - Advanced data engineering: Python, SQL, Spark, Databricks, Snowflake, Azure, AWS, GCP. - Data modeling: conceptual, logical, physical models; normalization/denormalization, dimensional, data vault, partitioning. - Cloud data platforms: design, deploy, manage on Azure, AWS, GCP, Snowflake. - Data governance & quality: MDM, data quality, regulatory compliance (GDPR, IFRS17). - Analytics & AI enablement: support BI, analytics, and ML/AI initiatives. - Executive stakeholder management: communicate and influence at C‑suite level. - Project & team leadership: deliver on-time, within budget, cross‑functional team management. **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or related field. - Relevant certifications preferred: - AWS Certified Solutions Architect / Data Analytics / Big Data – Specialty - Microsoft Certified: Azure Data Engineer Associate - Snowflake SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer Associate - Certified Data Management Professional (CDMP) – optional but advantageous.

New york, United states

Hybrid

09-12-2025

Company Name

Wavestone

Job Title

Cybersecurity - Consulting Analyst

Job Description

Job Title: Cybersecurity Consulting Analyst Role Summary: Support the delivery of cybersecurity and operational resilience engagements for diverse clients. Contribute to research, analysis, and the creation of client deliverables while collaborating with project leads and stakeholders. Expectations: * Deliver high‑quality work that meets client standards. * Apply a risk‑driven, analytical approach to problem solving. * Maintain current knowledge of cyber threats, technologies, and regulatory requirements. * Participate in continuous learning and contribute to team growth. Key Responsibilities: * Collaborate with engagement teams to address cybersecurity and resilience challenges across digital identity, operational resilience, and security operations domains. * Support project workstreams, including research, data analysis, and workshop facilitation. * Prepare presentations, reports, and client deliverables ensuring clarity and professionalism. * Conduct market and threat landscape analysis to inform project recommendations. * Engage with client stakeholders to gather requirements and ensure project objectives are achieved. * Participate in internal knowledge‑sharing and networking activities. Required Skills: * Strong analytical and problem‑solving abilities. * Effective written and verbal communication skills. * Ability to conduct structured research and data analysis. * Familiarity with cybersecurity concepts: identity management, threat detection, incident response, and operational resilience. * Basic understanding of regulatory frameworks and compliance programmes. * Ability to work collaboratively within a consulting team. Required Education & Certifications: * Bachelor’s or Master’s degree in Computer Science, Cybersecurity, Information Technology, or related field. * Relevant certifications such as CompTIA Security+, CISSP, or equivalent preferred.

London, United kingdom

Hybrid

29-01-2026

Company Name

Wavestone

Job Title

Stage de fin d'études - Consultant.e en Intelligence Artificielle

Job Description

Job Title: Final-Year Internship – AI Consultant Role Summary: Junior consultant in the AI Business Unit participating in end‑to‑end client engagements, developing tools, exploring use cases, and contributing to the growth of AI services. Expectations: Deliver structured, high‑impact work on selected projects; collaborate with cross‑functional teams; engage in internal initiatives (training, tech scouting, community events); receive close mentorship and feedback; potential pre‑employment opportunity. Key Responsibilities: - Analyse client needs and identify high‑impact AI use cases. - Design and prototype AI/ML solutions (MLops, LLMOps, GenAI, NLP agents). - Support platform selection and architecture (Data Mesh, AI factories, secure deployment). - Contribute to governance, ethics, and compliance frameworks (FinOps, data sovereignty). - Draft technical documentation, reports, and business proposals. - Participate in internal knowledge sharing, client demos, and sales support. - Monitor emerging AI technologies and partner ecosystems (Microsoft, Google, Mistral). Required Skills: - Strong analytical and problem‑solving abilities. - Basic proficiency in AI/ML concepts and data science tools. - Familiarity with cloud platforms (Azure, GCP, AWS) and AI frameworks (PyTorch, TensorFlow, Hugging‑Face). - Good written and verbal communication in English; French optional. - Ability to work in multidisciplinary teams, self‑motivated, and detail oriented. Required Education & Certifications: - Current student in the final year of a top engineering or business school with focus on data science, AI, digital transformation or strategy. - Relevant coursework or projects in machine learning, data engineering, or AI ethics is preferred.

Paris, France

On site

30-01-2026

Company Name

Wavestone

Job Title

Consultant.e AI Engineer

Job Description

**Job Title** Consultant AI Engineer **Role Summary** Design, develop, and industrialize AI solutions for large enterprises, transforming business problems into production‑ready ML/LLM models and autonomous agents. Leverages cross‑functional expertise in data engineering, MLOps, and business strategy to deliver high‑impact, responsible AI deployments. **Expectations** - Deliver end‑to‑end AI projects: use case discovery, platform design, model training, deployment, and ongoing monitoring. - Collaborate with client teams, data scientists, architects, and change‑management specialists across global engagements. - Maintain high standards of reliability, security, and compliance (GDPR, data sovereignty). - Continuously evaluate emerging frameworks and multimodal technologies to keep solutions state‑of‑the‑art. **Key Responsibilities** - Conduct data preprocessing, fine‑tuning, retrieval‑augmentation (RAG), and embedding creation for ML/LLM solutions. - Build automation and optimization algorithms to accelerate and secure business processes. - Develop operational AI agents (copilots, assistants, orchestrations) using Python or low/no‑code platforms. - Industrialize models and agents via CI/CD pipelines, AIOps/MLOps/LLMOps, observability, monitoring, and security controls. - Test new agentic frameworks (LangChain, Semantic Kernel, multi‑agent orchestration) and emerging frameworks. - Participate in knowledge‑sharing sessions, contribute to pre‑sales, and enhance internal AI assets. **Required Skills** - Proficiency in Python, foundational knowledge of ML/LLM, and experience with agentic frameworks (LangChain, Semantic Kernel). - Strong software‑engineering fundamentals; experience with API frameworks (FastAPI, Flask, Streamlit) and version control (Git, GitLab/GitHub). - Practical knowledge or willingness to learn cloud deployment on Azure, AWS, or GCP and DevOps practices (Docker, CI/CD). - Commitment to responsible AI: reliability, security, and measurable business impact. - Excellent communication and collaboration skills for cross‑functional team enablement. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Data Science, Engineering or related discipline. - Certifications in cloud platforms (Azure AI, AWS AI, GCP AI) and/or MLOps, or equivalent professional experience.

Paris, France

Hybrid

02-02-2026