Data Engineer
Bosnia remote, BA
NTT DATA Romania
Who we are
Step into our global Centre of Excellence, where innovation meets impact. As a Data Engineer specializing in Agentic AI Services, youâll 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.
Youâll 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 ecosystemâincluding Fabric, Azure Synapse, and Purview. Beyond implementation, youâll mentor others and promote a culture of modern data craftsmanship that fuels operational intelligence and predictive analytics.
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What youâll be doing
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- 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 youâll bring along
- Bachelorâs 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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index đ°
Tags: Architecture Azure Big Data Computer Science Dataflow Data governance DataOps Data pipelines ELT Engineering ETL Hadoop Machine Learning Oracle Pipelines Power BI Python Spark SQL Testing
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