
Senior Consultant, AI Data Engineering – Microsoft Azure
Posted Oct 22

Posted Oct 22
This is a fully remote position, open to applicants in Romania.
• Develop and design contemporary data platforms and engineering solutions.
• Construct data pipelines, lakehouse frameworks, semantic data models, and data products tailored for Analytics, AI, and GenAI applications.
• Connect Data Engineering with AI Engineering, emphasizing RAG architectures, Conversational BI, AI-driven data products, and LLM-based solutions.
• Create and integrate AI agents and agentic components to enhance pipeline development, maintain data quality, automate processes, monitor systems, and facilitate self-service analytics.
• Utilize Microsoft Azure, Microsoft Fabric, Databricks, Snowflake, and dbt to devise scalable data and AI solutions.
• Craft comprehensive architectures that encompass source systems, integration, transformation, governance, quality assurance, and consumption via AI, BI, and business applications.
• Provide guidance to clients on technology choices, target architectures, migration plans, platform upgrades, and AI incorporation into data strategies.
• Manage workstreams or projects, ensuring practical execution, technical excellence, and measurable business value for clients.
• Contribute to best practices, reusable resources, technical standards, and innovation initiatives within the Data & AI portfolio.
• Demonstrated professional experience in Data Engineering, Cloud Data Platforms, or Data & AI Consulting, preferably in a consulting, delivery, or project-driven environment.
• Practical experience in designing and implementing data pipelines, data models, lakehouse architectures, or cloud data warehouse solutions.
• Strong expertise in 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.
• Comprehension of modern data platforms that support AI, Generative AI, and advanced analytics.
• Practical experience with LLM-based applications, RAG, Agentic AI, Azure AI Foundry, MLOps, or LLMOps is highly preferred.
• Strong architectural perspective linking business needs, data platforms, AI applications, and operational factors.
• Organized and pragmatic approach to work.
• Excellent communication and stakeholder management abilities.
• Proficiency in German at a minimum C1 level.
• Competency in the English language.
• Willingness to travel to client locations as necessary.
• Personalized development opportunities through the PERSONAL GROWTH MODEL.
• Access to over 200 training days annually in the Academy.
• Certification programs.
• German language courses.
• Coaching and a leadership culture focused on growth.
• Flexible mobile/remote working options as per the Mobile Work Policy.
• Customized vacation days that increase annually with seniority, up to 30 days.
• Flexible working hours.
• Private health insurance coverage.
• Monthly multi-benefits funds applicable for meal vouchers, gift cards, cultural vouchers, holiday vouchers, and sports club memberships.
• Mindfulness training and regular interactions through the Mindfulness Community.
• A variety of networking and social events.
Arionkoder
Global Alliant Inc
finanzen.net GmbH
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