POSITION: STAFF

We are looking for a highly skilled and experienced Azure Data Engineer to join our dynamic Global Data & Analytics Platform team. The successful candidate will be responsible for delivering scalable data solutions on the Global Data Platform, managing the platform, and driving its further development. This role requires proficiency in data engineering, data modelling, and data pipeline orchestration, with a proven track record of working with Azure-specific data platform tools and technologies. Strategic and forward-thinking capabilities, as well as experience in applying AI within a business data environment, are essential. Additionally, strong soft skills are necessary to collaborate effectively with cross-functional international teams and communicate complex technical concepts to non-technical stakeholders.
Responsibilities:

KEY SKILLS:

• Leadership: Experience managing and mentoring data engineers or technical teams.
• Technical Expertise:
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• Advanced knowledge of Azure Synapse Analytics, Azure Data Factory, and SQL.

• Proficiency in ETL/ELT pipeline design and optimization.
• Familiarity with automation tools (Azure Logic Apps, Power Automate, Python, or PowerShell scripting).
• Knowledge of cloud performance optimization and cost management.
• Collaboration: Strong ability to work cross-functionally with technical teams, governance leads, and business stakeholders.
• Analytical Thinking: Ability to design efficient, scalable, and high-performing data workflows.
• Strategy and planning: Experience with definition of data strategy, global data platform strategy and development roadmaps aligned with company’s digital transformation plans.
• Governance Awareness: Understanding of data governance principles and ability to work within established frameworks.
  Qualifications:

QUALIFICATIONS/EXPERIENCE

• Bachelor or Master degree in a related field of study
• 5+ years of experience in data engineering, with a strong focus on Azure cloud services across a mixture of Enterprise and SME environments
• Proficiency in Python, SQL, Azure Data Factory, Azure Synapse Analytics, Azure Data Lakes, and big data technologies like Apache Spark
• Experience with DevOps practices and CI/CD pipelines in an Azure environment is a plus.
• Certification in Azure (e.g., Microsoft Certified: Azure Data Engineer Associate) is highly desirable.
• Excellent problem-solving abilities, strong communication skills, ability to work collaboratively in a team environment, and a keen attention to detail.
• Fully up to speed with Agile development methodologies e.g., DevOps, Scrum (EPICs, Stories, Task, Issues, Bugs)
• Excellent analytical and problem-solving skills and the ability to troubleshoot complex issues
• Excellent stakeholder management, communication and interpersonal skills
• Ability to thrive in a fast-paced and collaborative environment
• Detail-oriented and well-organized
  Morgan Advanced Materials is an EEO/AA/M/W/D/V Employer Ind-

ROLE DESCRIPTION:

• Take ownership of the Azure-hosted analytical platform, ensuring it meets current and future business requirements.
• Optimize the platform for performance, security, and scalability, ensuring alignment with best practices.
• Design and develop scalable ETL pipelines and data solutions using Azure Data Factory, Synapse Analytics, and related tools.
• Work closely with stakeholders to understand business needs and translate them into actionable data solutions.
• Lead and mentor the Data & Analytics team, ensuring the smooth operation of data pipelines and alignment with organizational objectives.