Data Engineer – Managed Services

This is a fully remote position, open to applicants in Philippines.

📋 Description

• Provide support for various clients' Azure Data Platform, Databricks, and/or Fabric/Power BI environments, addressing escalations and resolving incidents.

• Implement, monitor, and enhance Microsoft Azure and/or Fabric Data & AI tool stacks.

• Consult on, develop, and provide guidance regarding Power BI, including report development and modeling.

• Design and support solutions that involve multi-source data imports, metadata-driven ETL, medallion data lake architecture, and star-schema data models.

• Configure, manage, optimize, and develop client data environments using governance, security, and best architectural practices.

• Engage with clients to identify issues, troubleshoot, and follow up within agreed SLAs.

• Communicate the status of tickets and manage escalations effectively.

• Articulate technical issues and solutions in terms understandable to business stakeholders.

• Collaborate with customers regarding Microsoft data-solution licensing and platform capabilities.

• Investigate and enhance custom solutions in data engineering and analytics.

• Create and update documentation for client environments.

• Participate in meetings with client stakeholders to discuss issues and propose solutions.

• Work alongside team members and client stakeholders to ensure solutions meet client requirements.

⛳️ Requirements

• Bachelor's degree in Computer Science, Mathematics, or a related field, or equivalent certification.

• Experience in a support role with an understanding of standard support processes (e.g., ITIL).

• 3–5 years of experience supporting solutions on Microsoft Azure and Fabric tool stacks for Data & AI (ADF, SQL DW, Azure Synapse, Azure Databricks, Microsoft Fabric, Microsoft Power BI).

• Required proficiency in supporting Enterprise Data Warehousing, Semantic Models, Data Lake Architecture, and Metadata-driven ETL processes.

• Must have experience with DevOps/DataOps, including git-based source control and automated deployment pipelines.

• Experience with implementing and/or supporting Agentic AI, machine learning, predictive analytics, and/or LLM use cases on the Microsoft tool stack for Data & AI is a plus.

• Strong verbal and written communication skills are essential.

• A genuine passion for problem-solving and a desire to learn new technologies.

• Skills in client relationship management and experience with vendor management.

• Ability to thrive in a fast-paced, rapidly evolving environment.

• A strong commitment to personal development and continuous upgrading of technical skills.

• Work remotely, but collaboratively within a team of data analytics professionals.

• Applicants must not require work visa sponsorship.

🏝️ Benefits

• Opportunity to work with a team of experienced data analytics professionals.

• Flexible remote work environment.

• Continuous learning and development opportunities.