Data Engineer

Responsibilities

• Design, build, and maintain robust data pipelines in Azure using services such as Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake.
• Ingest and consolidate data from diverse sources—APIs, databases, and files—into centralized analytics repositories.
• Develop and manage ETL and ELT workflows to transform raw data into analytics-ready models aligned with business needs.
• Architect microservices that scale with business growth and integrate AI capabilities.
• Construct data pipelines that supply AI models with clean, structured logistics data.
• Implement real-time analytics engines to support predictive logistics functionalities.
• Ensure data quality, integrity, and governance through validation, monitoring, and alerting mechanisms.
• Collaborate with business and technical teams to gather data requirements and ensure alignment between data assets and organizational needs.
• Adopt cost-aware data engineering practices to optimize performance while managing cloud consumption and storage costs.
• Maintain and enhance a semantic data layer or curated datasets to support self-service BI and advanced analytics.
• Contribute to the architecture of the data platform, focusing on security, scalability, and performance.
• Automate data operations and deployment processes using CI/CD pipelines and infrastructure-as-code tools such as ARM, Bicep, or Terraform.
• Stay current with Azure innovations and propose improvements to existing data workflows.
• Fulfill additional duties as assigned.

Requirements

• Proven experience building and managing data pipelines within Microsoft Azure environments.
• Proficiency with Azure Data Factory, Synapse Analytics, Data Lake, and Power BI integration.
• Strong SQL skills, data modeling expertise, and familiarity with ELT/ETL patterns.
• Experience working with APIs, JSON, and mixed data sources (structured and unstructured).
• Ability to collaborate cross-functionally to define and deliver high-quality data solutions.
• Excellent organizational skills with the capacity to handle multiple tasks, set priorities, and work both independently and in diverse teams while meeting deadlines.
• Flexible availability to accommodate business needs.
• Proficiency in the Microsoft Office Suite.
• Demonstrated leadership and effective communication with cross-functional teams.
• Detail-oriented with a focus on accuracy and compliance in a dynamic environment.
• Logistics or Supply Chain experience is preferred.

Technologies

• Azure Data Factory
• Azure Synapse Analytics
• Azure Data Lake
• Power BI
• SQL
• JSON
• Terraform
• Bicep
• ARM
• Microsoft Office Suite

Benefits

• Dental insurance
• Health insurance
• Life insurance
• Paid time off

Physical Demands

• Sitting at a desk, typing, and viewing multiple computer screens, with frequent phone, email, and message activity.
• Occasionally bending, standing, or lifting up to 10 pounds.

Work Environment

The position requires working in an open office setting with regulated temperatures, where attention to phone activity is common and several colleagues are working nearby.

Position Type and Expected Hours

This is a full-time role. Typical hours are Monday through Friday, 8:00 am to 5:00 pm with a one-hour lunch, totaling 40+ hours per week. The role may require additional hours outside standard business times based on business needs.

Travel

Minimal to no travel is expected. Some travel may occur to attend conferences or trainings.

Professional

• Adaptability to a fast-paced environment with a flexible approach to changes.
• Efficient time management, reliability, and punctuality.
• Commitment to teamwork, integrity, and responsible leadership.
• Clear and respectful written and verbal communication with colleagues across functions.