Data Engineer

Who we are

Step into our global Centre of Excellence, where innovation meets impact. As a Data Engineer specializing in Agentic AI Services, you’ll be part of a central team that collaborates across borders to shape the future of intelligent systems. Your mission: to enable seamless data readiness for AI transformation.

You’ll architect scalable pipelines, champion high-quality data delivery, and help lay the foundation for AI-driven insights by harnessing the full power of the Microsoft ecosystem—including Fabric, Azure Synapse, and Purview. Beyond implementation, you’ll mentor others and promote a culture of modern data craftsmanship that fuels operational intelligence and predictive analytics.

What you’ll be doing

• Designing and optimizing scalable data pipelines with Microsoft Fabric, Data Factory, and Azure tools
• Developing and automating robust ETL/ELT processes for AI-ready datasets
• Translating business and technical requirements into advanced data models
• Engineering high-performance database schemas using Microsoft SQL and Fabric Lakehouses
• Migrating and transforming data across enterprise systems like SAP, Oracle, and Dynamics
• Collaborating with data architects, analysts, and AI engineers to power analytics workflows
• Conducting rigorous data validation, quality checks, and integration testing
• Documenting pipeline architectures, transformations, and migration processes
• Enabling compliance and governance with metadata management in Microsoft Purview
• Automating data operations through scripting and orchestration best practices
• Coaching cross-functional teams on modern engineering tools and methodologies

What you’ll bring along

• Bachelor’s in Computer Science, Software Engineering, or a related technical field
• Preferred: Microsoft Certified Azure Data Engineer Associate or Fabric Analytics Engineer
• Additional certifications in data engineering platforms and tools (a plus)
• Minimum 5-7 years of experience in designing and maintaining enterprise-scale data solutions in Azure
• Extensive ETL/ELT automation experience for AI/ML workloads
• Proficiency in pipeline scripting (Python, PowerShell, SQL) and cloud migration
• Track record integrating complex data sources and ensuring quality delivery
• Familiarity with big data tools within Azure (Hadoop, Spark) and reporting platforms like Power BI
• Demonstrated impact mentoring teams and driving readiness for AI-driven analytics
• Expert-level skills in Microsoft Fabric, Synapse Analytics, Data Factory, and Power Query
• Deep knowledge of lakehouse architectures, data modeling, and ETL/ELT principles
• Hands-on experience with SQL, Python, PowerShell, and Spark/Dataflow languages
• Proven ability to design both logical and physical models for analytics and AI
• Familiarity with data governance and lineage tracking via Microsoft Purview
• Strong experience integrating data from sources like Azure SQL, SAP, and Oracle
• Background in scaling real-time and batch data solutions for high-volume systems
• Effective communication skills to engage with stakeholders and cross-functional teams
• Passion for mentoring peers and advancing data engineering practices
• Excellent command of both spoken and written English