Data Engineer

Bridgit

Data Engineer designing, building, and maintaining data pipelines at Bridgit, a leading non-bank lender transforming property equity access in Australia.

Posted 6/19/2026full-timeManila • 🇵🇭 PhilippinesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureETLNumpyPandasPythonSQL

About the role

Key responsibilities & impact

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 (e.g., Medallion architecture: Bronze–Silver–Gold)
Manage and maintain ETL/ELT processes using Azure Data Factory, Fabric Pipelines, or equivalent tools.
Develop and maintain high-performance SQL queries and analytical models for reporting and analytics.
Ensure data quality, reliability, and lineage through testing, monitoring, and documentation.
Collaborate with data scientists, analysts, and business stakeholders to translate requirements into scalable technical solutions.
Manage version control, branching, and CI/CD processes using Git.
Drive adoption of engineering best practices, including modular code design, testing, and automation.

Requirements

What you’ll need

3 to 5+ years of experience in data engineering projects spanning batch and streaming data workloads.
Strong Python proficiency, including a strong command of NumPy, Pandas, and related data-processing libraries.
Strong SQL skills — capable of building efficient, production-grade transformations and analytical models.
Proven experience with AWS + Databricks, particularly in Delta Lake or Lakehouse environments.
Strong understanding of data modeling (Star/Snowflake), Medallion architecture (Bronze–Silver–Gold), and incremental/CDC design patterns.
Hands-on experience with ETL/ELT orchestration (Azure Data Factory, Fabric Pipelines, or equivalent).
Proficient with Git for version control, branching strategies, and CI/CD integration — this is essential.
Excellent communication, documentation, and stakeholder collaboration skills.

Benefits

Comp & perks

Extra Leave – We offer birthday leave + an additional day of paid leave to be used for life events, celebrations, or just a mental health reset.
Two Weeks from Anywhere – We encourage employees to work remotely from a location of their choice for two weeks each year.
Learning and Development – All employees are encouraged and empowered to engage in professional development, including a number of learning initiatives run internally.
Social Events – We have a jam-packed social scene, with events throughout the year to bring the team together!

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Hard Skills & Tools

data pipelinesAWSDatabricksETLELTSQLPythondata modelingGitCI/CD

Soft Skills

communicationdocumentationstakeholder collaboration