Data Engineer

Bosnia remote, BA

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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
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

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

Regions: Remote/Anywhere Europe

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