We’re searching for a Data Engineer with deep Azure expertise to help power a growing enterprise’s digital transformation. You’ll work with modern Azure tools— Data Factory, Synapse, Databricks, Data Lake, and Azure SQL —to build large-scale, cloud-native data pipelines and infrastructure. This is a full-time opportunity to design the architecture that supports everything from business intelligence to advanced AI and RAG-based applications . This role is about more than just building data pipelines—it’s about solving hard problems at scale and working at the intersection of data, AI, and business strategy . You’ll be part of a collaborative digital technology team, partnering closely with analysts, data scientists, and DevOps engineers to unlock smarter decisions. If you’re excited by the chance to lead Azure-driven data innovation, streamline performance, and help drive machine learning initiatives—this is your kind of challenge. Required Skills & Experience 3–5 years of professional data engineering experience Proven hands-on work with Azure Data Factory, Synapse, Databricks, Data Lake, and Azure SQL Strong SQL, Python, and/or Spark skills Experience building and managing robust ETL/ELT pipelines Familiarity with Azure RBAC , encryption, and regulatory frameworks like GDPR or HIPAA Experience with CI/CD , version control (Git), and tools like Azure DevOps Strong data modeling, transformation, and performance optimization skills Desired Skills & Experience Experience with real-time streaming (e.g., Event Hubs, Kafka, IoT Hub) Exposure to Azure ML, OpenAI , or other AI/ML frameworks Background in BI tools like Power BI or Tableau Familiarity with data governance , metadata management, and quality assurance Bonus points for experience in manufacturing or service industries What You Will Be Doing Tech Breakdown 60% -Azure Data Factory, Synapse, Databricks, Data Lake, Azure SQL 20% -Azure DevOps, Git, Terraform, CI/CD pipelines 20% -BI and AI enablement, including integration with RAG and Azure ML Daily Responsibilities 60% -Data pipeline development and cloud architecture 20% -Performance tuning, data governance, and security 20% -Collaboration with data scientists, DevOps, and business stakeholders #J-18808-Ljbffr Motion Recruitment Partners LLC