Manila Recruitment
Manila Recruitment
11 – 50 Employees
ConsultingLogisticsMarketing

Manila Recruitment is a Philippines-based recruitment agency that helps multinationals, corporations, and start-ups build teams for the Filipino market. Its services include executive search, IT recruitment, headhunting, offshore staffing, and remote staffing across areas such as consulting, logistics, and marketing.

The agency develops recruitment strategies around each client’s business goals, with a process-driven approach focused on sourcing both active and passive candidates. Manila Recruitment’s certified headhunters support hiring through a substantial candidate network and candidate guarantee programs.

Lead Data Engineer – Microsoft Fabric & Azure (Hybrid)

Lead the architecture and delivery of Azure and Microsoft Fabric data platforms. Build scalable pipelines, Power BI analytics, governance practices, and agentic engineering workflows while guiding a data engineering team.

Description

  • Own ingestion, transformation, and analytics architecture across products
  • Create scalable, reusable patterns for pipelines, storage, workspaces, data models, and analytics
  • Build production-grade Bronze, Silver, and Gold pipelines using the Medallion Architecture
  • Set standards for schemas, transformations, naming, monitoring, and reporting readiness
  • Define specifications, validation processes, and safeguards for coding-agent use
  • Develop prototypes and production code with idempotency, safe replay, incremental processing, and clear layer separation
  • Release pipelines through source control and CI/CD with versioning, monitoring, drift detection, alerting, and tested recovery procedures
  • Manage platform performance, reliability, recoverability, and costs as data volumes increase
  • Apply data-quality checks and validation at every layer boundary
  • Maintain consistent metric definitions and partner on access controls, row-level security, and privacy
  • Design semantic models, data marts, and shared datasets for Power BI
  • Advise analysts and report developers on data modelling, performance, and reuse
  • Lead a small data engineering team through solution design, code review, complex issue resolution, and coaching on lineage, quality, and observability
  • Establish operating practices for a dependable, reusable, and scalable data platform

Requirements

  • Bring 8+ years of hands-on data engineering experience, strong fundamentals, and a record of delivering data solutions end to end
  • Have at least 2 years in a Lead Data Engineer, Technical Lead, or people-leadership role, with the ability to direct technical work while staying hands-on
  • Demonstrate strong data architecture and modelling knowledge, including dimensional modelling and layered designs such as the Medallion Architecture, with project implementation experience
  • Have hands-on Microsoft Fabric experience; strong Databricks, Snowflake, or Synapse experience is relevant when paired with the ability to work in Fabric
  • Build production-scale pipelines and transformations from the ground up, including operational-source ingestion, advanced SQL, incremental loading, and Python or PySpark
  • Cover the full engineering lifecycle from source ingestion and pipeline development through data modelling and the Power BI reporting layer
  • Understand Power BI dataflows, dataset design, semantic modelling, and DAX
  • Have owned data platforms in production, including monitoring, refresh reliability, recovery, performance, and cost management
  • Understand data governance, quality, observability, lineage, validation, access control, row-level security, privacy, and data CI/CD through Azure DevOps, GitHub Actions, or Fabric Git integration
  • Apply strong technical judgement and problem-solving skills, independently select and explain technical approaches, and own issues through resolution
  • Understand agentic engineering; hands-on experience is a plus

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