Senior Consultant, AI Data Engineering – Microsoft Azure

This is a fully remote position, open to applicants in Romania.

📋 Description

• Design and execute modern data platforms and engineering solutions, which encompass data pipelines, lakehouse architectures, semantic data models, and data products.

• Serve as a bridge between Data Engineering and AI Engineering, emphasizing RAG architectures, Conversational BI, AI-driven data products, and LLM-based applications.

• Create and incorporate AI agents and agentic components to enhance pipeline development, data quality, automation, monitoring, and self-service analytics.

• Leverage Microsoft Azure, Microsoft Fabric, Databricks, Snowflake, and dbt to develop scalable data and AI solutions.

• Architect end-to-end solutions throughout the data lifecycle, starting from source systems and integration to transformation, governance, quality assurance, and consumption.

• Provide guidance to clients on technology selection, target architectures, migration strategies, platform modernization, and the integration of AI into data strategies.

• Manage workstreams or projects, ensuring effective execution, technical excellence, and demonstrable business value.

• Contribute best practices, reusable assets, technical standards, and innovation initiatives to the Data & AI portfolio.

⛳️ Requirements

• Demonstrated professional experience in Data Engineering, Cloud Data Platforms, or Data & AI Consulting.

• Experience in consulting, delivery, or project-based environments is preferred.

• Practical experience in designing and implementing data pipelines, data models, lakehouse architectures, or cloud data warehouse solutions.

• Strong command of SQL and Python or PySpark.

• Hands-on experience with ETL/ELT processes, APIs, data quality frameworks, CI/CD, and Infrastructure as Code (IaC).

• Familiarity with Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, Databricks, Snowflake, dbt, Power BI, and Microsoft Power Platform.

• Understanding of how modern data platforms facilitate AI, Generative AI, and advanced analytics solutions.

• Practical experience with LLM-based applications, Retrieval-Augmented Generation (RAG), Agentic AI, Azure AI Foundry, MLOps, or LLMOps is highly desirable.

• Strong architectural mindset that connects business requirements, data platform capabilities, AI use cases, and operational considerations.

• A structured and pragmatic approach to work.

• Excellent communication skills and stakeholder management abilities.

• Fluent in German at a minimum C1 level.

• Proficient in English.

• Willingness to travel to client locations as necessary.

🏝️ Benefits

• Individually tailored career development opportunities through the PERSONAL GROWTH MODEL.

• Over 200 training days available each year through the Academy.

• Certification courses offered.

• German language classes provided.

• Coaching & Leading leadership culture fostered.

• Flexible mobile and remote working options through the Mobile Work Policy.

• Customized vacation days that increase annually based on seniority, up to 30 days.

• Flexible working hours.

• Private health insurance included.

• Multi-benefits platform with monthly funds for meal tickets, gift vouchers, cultural vouchers, holiday vouchers, and sports club subscriptions.

• Mindfulness training and regular community engagement activities.

• Networking and celebratory events organized.