Data Engineer (Managed Services)
Responsible for ongoing development, support, escalations, and proactive maintenance for client’s Azure Data Platform solution through Managed Services processes, procedures, and tools.
- Remote, Philippines
- Full-time
- Remote
- Posted Nov 10, 2026
INDUSTRYSoftware & InternetSaaS & Enterprise SoftwareData & Analytics
Responsibilities
- Support multiple clients’ Azure Data platform, Databricks, and/or Fabric / PowerBI environments, delivering prompt responses to any escalations while analyzing and resolving incidents
- Support, implement, and monitor enhancements to clients’ Microsoft Azure and/or Fabric tool stacks for Data & AI (ADF, SQL DW, Azure Synapse, Azure Databricks, Microsoft Fabric Data Engineering, Microsoft Power BI)
- Consult, develop, and advise on Power BI, including report development and modeling
- Support comprehensive solutions for customers including importing data from multiple sources, transforming via metadata-driven ETL architectures, storing across the stages of medallion data lake architecture, and serving performant star schema data models for Enterprise Data Warehousing, Business Intelligence and AI/ ML applications
- Configure, administer, tune and develop client’s data environment based on governance and security best practices and well-architected frameworks
- Interact with clients to identify issues, troubleshoot expediently, and follow up on issues within contracted SLAs
- Regularly and proactively communicate ticket status information to all associated parties, handle escalations as appropriate
- Communicate technical issues and solutions to clients in business terms with an eye toward supporting strategic business outcomes
- Understand and work with customer on licensing involving Microsoft data solutions, and understand the limits/advantages of each licensing platform
- Research new and custom solutions where appropriate; learn, apply, and refine skills around data engineering and data analytics
- Create and maintain updated documentation for each client’s environment
- Participate in recurring meetings with client stakeholders to review current issues and to propose possible solutions
- Collaborate with team members and client stakeholders to ensure our solutions align to our client’s needs
Requirements
- Bachelor’s degree in Computer Science, Mathematics, or related field
- equivalent certification
- Experience in a Managed Services
Nice to have: Agentic AI, machine learning, predictive analytics, LLM use cases
Skills
Microsoft AzureMicrosoft FabricAzure Data Factory (ADF)SQL DWAzure SynapseAzure DatabricksMicrosoft Power BIEnterprise Data WarehousingSemantic ModelsData Lake ArchitectureMetadata-driven ETL processesDevOps/ DataOpsgit-based source controlautomated deployment pipelinesAzureDatabricksFabricPowerBIADFSQL DWAzure Synapse
Benefits
- team environment
Full description
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