Lakehouse Data Engineer — AI-Driven BI Pipelines

Lean Solutions Group; Makati; On-site; PHP 1,339,000 - 2,009,000; Full time

Job summary

Lean Solutions Group (LSG) is seeking a Data Engineer who builds and operates the data foundation behind enterprise BI. You will implement lakehouse layers on Microsoft Fabric, design ingestion pipelines, and model data so that a single definition serves every report.

Collaborate with BI teams to ensure data quality, lineage, and security, while optimizing performance and cost. This role requires 3+ years of data engineering and hands-on experience with SQL, Python, PySpark, and modern data

Qualifications

• 3+ years hands-on data engineering building production pipelines
• Experience with lakehouse architectures and data modeling
• Strong SQL, Python, PySpark, and BI tooling knowledge
• Familiarity with governance, RBAC, and CI/CD

Responsibilities

• Build and operate the enterprise lakehouse on Microsoft Fabric
• Design ingestion pipelines from client systems, internal apps, CRMs, SharePoint, Excel
• Model Silver/Gold layers for analytics and Direct Lake semantic models
• Ensure data quality, lineage, and security across pipelines
• Optimize performance and manage costs as data volumes grow
• Collaborate with BI teams and client stakeholders to deliver reliable data assets

Skills

SQL & Data Modeling

Python & PySpark

Lakehouse Platforms

Fabric Platform

Medallion Architecture

BI Direct Lake

Data Ingestion

Governance CI/CD

Education

Fabric DP-600 Certification

Tools

Snowflake

DataHub

Fabric Data Agents

Copilot

Azure DevOps

Git

Job description

Lean Solutions Group (LSG) is seeking a Data Engineer who builds and operates the data foundation behind enterprise BI. You will implement lakehouse layers on Microsoft Fabric, design ingestion pipelines, and model data so that a single definition serves every report.

Collaborate with BI teams to ensure data quality, lineage, and security, while optimizing performance and cost. This role requires 3+ years of data engineering and hands-on experience with SQL, Python, PySpark, and modern data