Remote-Ready Data Engineer: AWS + Databricks Pipelines

Bridgit; Pasig; Hybrid; PHP 334,800 - 558,000; Full time

Benefits offered by this job

Extra Leave

Work remotely for two weeks from anywhere

Learning and Development initiatives

Social events throughout the year

Job summary

Bridgit, a leading non-bank lender in the Philippines, seeks an experienced Data Engineer to enhance our data processing capabilities. You will design and maintain scalable data pipelines using AWS and Databricks while ensuring data quality across our systems.

The ideal candidate will have solid experience in data engineering, particularly with batch and streaming data workloads, and strong skills in Python and SQL. Bridgit offers unique benefits like extra leave and a robust learning culture.

Qualifications

• 3 to 5+ years of experience in data engineering projects spanning batch and streaming data workloads.
• Strong command of NumPy, Pandas, and related data-processing libraries.
• Proven experience with AWS + Databricks, particularly in Delta Lake or Lakehouse environments.

Responsibilities

• Design, develop, and optimize data pipelines for both batch and streaming workloads using AWS + Databricks.
• Implement data models, transformations, and ingestion frameworks following best practices.
• Ensure data quality, reliability, and lineage through testing, monitoring, and documentation.

Skills

Python proficiency

SQL skills

Data modeling

ETL/ELT orchestration

Git for version control

Tools

AWS

Databricks

Azure Data Factory

Job description

Bridgit, a leading non-bank lender in the Philippines, seeks an experienced Data Engineer to enhance our data processing capabilities. You will design and maintain scalable data pipelines using AWS and Databricks while ensuring data quality across our systems.

The ideal candidate will have solid experience in data engineering, particularly with batch and streaming data workloads, and strong skills in Python and SQL. Bridgit offers unique benefits like extra leave and a robust learning culture.