Senior Data Engineer

1 day ago

Makati City, National Capital Region, Philippines KPMG Philippines Full time ₱120,000 - ₱180,000 per year

We are seeking a highly skilled
Senior Data Engineer
with deep expertise in
Microsoft Fabric/Databricks
to design, build, and optimize modern data platforms that enable advanced analytics and business intelligence. This role will be pivotal in driving our data strategy, ensuring scalability, security, and performance across diverse business units.

The successful candidate will bring strong experience in cloud-native data engineering, with a focus on
data integration, Lakehouse architecture, metadata-driven pipelines, governance, and automation
within the Microsoft ecosystem.

  • Proven experience (5+ years) in
    data engineering, cloud data platforms, and analytics solutions
    .
  • Hands-on expertise with
    Microsoft Fabric or Databricks
    , including OneLake, Lakehouse, Data Factory, Synapse, and Power BI integration.
  • Strong proficiency in
    SQL, PySpark, and data modelling (dimensional, Lakehouse, and semantic models)
    .
  • Experience implementing
    data governance, Cataloging, and lineage frameworks
    .
  • Familiarity with
    metadata-driven frameworks and automation patterns
    .
  • Strong understanding of
    ETL/ELT, streaming, batch data pipelines, and API-based ingestion
    .
  • Solid grasp of
    data security, compliance, and access management
    .
  • Exposure to
    Azure ecosystem
    (Azure Data Lake, Databricks, Purview, Azure DevOps) is highly desirable.
  • Excellent problem-solving, communication, and stakeholder management skills.

Key Responsibilities

  • Design and implement
    end-to-end data solutions
    using
    Microsoft Fabric
    , including
    OneLake, Data Factory, Fabric, and Power BI
    .
  • Build and optimize
    data ingestion pipelines
    for structured, semi-structured, and unstructured data.
  • Develop
    metadata-driven, reusable frameworks
    for data processing and orchestration.
  • Ensure
    data quality, security, lineage, and governance
    in alignment with enterprise standards.
  • Partner with business stakeholders, data analysts, and data scientists to deliver
    scalable and trusted datasets
    .
  • Lead performance tuning, cost optimization, and best practices for Microsoft Fabric environments.
  • Mentor junior engineers and contribute to the
    data engineering community of practice.
  • Drive adoption of
    modern DevOps, CI/CD, and automation practices
    within data engineering workflows

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