Senior Consultant, AI Data Engineering – Microsoft Azure

🕒 August 21

🇷🇴 Romania – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 16%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Wavestone

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2015

📣 Marketing

📦 Logistics

✈️ Travel

Marketing • Logistics • Travel

Wavestone is a consulting firm that operates globally, providing strategic transformation services across various sectors and disciplines. They offer cutting-edge technology solutions with a focus on cybersecurity and sustainability. With more than 5,500 employees in 17 countries, Wavestone is committed to delivering holistic, end-to-end capabilities to their clients, ensuring seamless implementation and exceeding customer expectations. Their services span IT strategy, data and AI advisory, and regulation and risk management.

📋 Description

• Design and implement modern data platforms and data engineering solutions • Build data pipelines, lakehouse architectures, semantic data models, and data products for Analytics, AI, and GenAI use cases • 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, including integration, 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 and ensure pragmatic execution, technical excellence, and measurable client business value • Contribute best practices, reusable assets, technical standards, and innovation initiatives to the Data & AI portfolio

🎯 Requirements

• Proven professional experience in Data Engineering, Cloud Data Platforms, or Data & AI Consulting • Experience in consulting, delivery, or project-based environments preferred • Hands-on experience designing and implementing data pipelines, data models, lakehouse architectures, or cloud data warehouse solutions • Strong proficiency in SQL and Python or PySpark • Practical experience with ETL/ELT processes, APIs, data quality frameworks, CI/CD, and Infrastructure as Code (IaC) • Experience with Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, Databricks, Snowflake, dbt, Power BI, and Microsoft Power Platform • Understanding of modern data platforms for AI, Generative AI, and advanced analytics • Practical experience with LLM-based applications, Retrieval-Augmented Generation (RAG), Agentic AI, Azure AI Foundry, MLOps, or LLMOps highly desirable • Strong architectural mindset connecting business requirements, data platform capabilities, AI use cases, and operational considerations • Structured and pragmatic working style • Excellent communication and stakeholder management skills • Fluent German, minimum C1 level • English language skills • Willingness to travel to client locations as required

🏖️ Benefits

• Individual development opportunities through the PERSONAL GROWTH MODEL • Over 200 training days per year through the Academy • Certification courses • German classes • Coaching & Leading leadership culture • Flexible mobile working through the Mobile Work Policy • Tailored vacation days increasing annually with seniority, up to 30 days • Flexible working hours • Private health insurance • Monthly multi-benefits funds usable for meal tickets, gift vouchers, cultural vouchers, holiday vouchers, and sports club subscriptions • Mindfulness training and regular community exchange • Networking and celebration events