Senior Data Engineer (BGC)

Lewis Personnel Management; Taguig; On-site; PHP 1,200,000 - 2,400,000; Full time

Job summary

Lewis Personnel Management is hiring a Senior Data Engineer to design, build, and optimize scalable data pipelines and cloud-based platforms. The role focuses on modern data engineering practices and enterprise-grade solutions to support analytics initiatives.

The ideal candidate has strong experience with ETL/ELT pipelines, data modeling, and cloud technologies such as Databricks, Snowflake, and Azure, along with a track record of delivering reliable data ecosystems.

Qualifications

• 8+ years of Data Engineering experience with large-scale data pipelines and enterprise/cloud-based data platforms.
• Proven experience designing, building, and optimizing scalable data solutions.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines and data workflows.
• Build and optimize enterprise-grade data platforms and cloud-native data solutions.
• Collaborate with cross-functional teams to support data integration, transformation, and analytics initiatives.
• Ensure data quality, reliability, and performance across modern cloud environments.

Skills

Python

SQL

Modern Data Platforms

Tools

Databricks

Snowflake

Azure Data Factory

Job description

We're Hiring: Senior Data Engineer

Location: BGC (Hybrid – 3 Days RTO per Week)
Employment Type: Contract
Salary: Competitive (Based on Experience)

We're looking for a Senior Data Engineer to design, build, and optimize scalable data pipelines and cloud-based data platforms. This role is ideal for experienced professionals with a strong background in modern data engineering, cloud technologies, and enterprise data solutions.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines and data workflows.

• Build and optimize enterprise-grade data platforms and cloud-native data solutions.

• Collaborate with cross-functional teams to support data integration, transformation, and analytics initiatives.

• Ensure data quality, reliability, and performance across modern cloud environments.

Required Experience

• 8+ years of Data Engineering experience with large-scale data pipelines and enterprise/cloud-based data platforms.

• Proven experience designing, building, and optimizing scalable data solutions.

Required Skills (Top 3)

• Python (Advanced) – Strong hands-on experience in data transformation, automation, and pipeline development.

• SQL (Intermediate to Advanced) – Complex queries, data modeling, and performance tuning.

• Modern Data Platforms – Hands-on experience with Databricks and/or Snowflake.

Preferred Skills

• Microsoft Azure (Azure Data Factory, Azure Synapse Analytics, Azure Storage)

• Cloud-native data architecture and enterprise cloud ecosystems

• Data warehousing, data modeling, and performance optimization

• Experience with scalable cloud-based data engineering best practices

-JAC