Data Engineer

Bridgit; Pasig; On-site; PHP 900,000 - 1,500,000; Full time

Benefits offered by this job

Extra Leave – birthday leave + life-ev

Two Weeks from Anywhere

Learning and Development

Social Events

Job summary

Bridgit is seeking a Data Engineer to design, build, and maintain scalable data pipelines in a modern lakehouse environment using AWS and Databricks. You will work closely with data scientists, analysts, and stakeholders to deliver robust data solutions across the enterprise.

The ideal candidate has 3–5+ years in data engineering, strong Python and SQL, and hands-on experience with Delta Lake, Medallion architecture, and ETL/ELT orchestration.

Qualifications

• 3 to 5+ years of experience in data engineering projects spanning batch and streaming data workloads.
• Strong Python proficiency including NumPy and Pandas.
• Strong SQL skills for production-grade transformations and analytics.
• Proven experience with AWS + Databricks, especially Delta Lake/Lakehouse.
• Solid understanding of data modeling (Star/Snowflake) and Medallion architecture (Bronze-Silver-Gold).
• Hands-on experience with ETL/ELT orchestration (ADF, Fabric Pipelines, or equivalent).
• Proficient with Git for version control, branching, and CI/CD integration.
• Excellent communication, documentation, and stakeholder collaboration skills.

Responsibilities

• Design, develop, and optimize data pipelines for batch and streaming workloads using AWS + Databricks.
• Implement data models, transformations, and ingestion frameworks following best practices (Medallion architecture).
• Manage and maintain ETL/ELT processes using Azure Data Factory, Fabric Pipelines, or equivalents.
• Develop and maintain high-performance SQL queries and analytical models for reporting and analytics.
• Ensure data quality, reliability, and lineage through testing and monitoring.
• Collaborate with data scientists, analysts, and stakeholders to translate requirements into scalable solutions.
• Manage version control, branching, and CI/CD processes using Git.
• Drive adoption of engineering best practices, including modular code design and automation.

Skills

Python proficiency

SQL proficiency

AWS + Databricks

Delta Lake / Lakehouse

Data modeling

ETL/ELT orchestration

Git & CI/CD

Communication & collaboration

Tools

Azure Data Factory

Fabric Pipelines

Databricks

Delta Lake

Git

Job description

About Us

Bridgit is a leading non-bank lender transforming the way Australians access property equity. Purpose-built to make property transactions faster and easier, we pioneered the Buy Now, Sell Later solution - empowering homeowners to unlock their property equity and move on their terms. With a simple digital application, fast approvals, and flexible loan options, we’re making property finance seamless and stress-free.

Bridgit is a leading non-bank lender transforming the way Australians access property equity. Purpose-built to make property transactions faster and easier, we pioneered the Buy Now, Sell Later solution - empowering homeowners to unlock their property equity and move on their terms. With a simple digital application, fast approvals, and flexible loan options, we’re making property finance seamless and stress-free. We’re now five years old and making huge strides. We have accredited over three-quarters of Australia’s broker network, and launched white label solutions with Australia’s largest aggregators - Connective, Aussie Home Loans, Finsure, and Loan Market Group - and we’re just getting started. Our momentum has been recognised with awards such as Best Growth Story at the 2025 Fintech Awards, 2025 Finder People’s Choice Award for Lending Innovation, the finalist for Excellence in Lending (Business & Consumer) at the 2025 Finnies, Deloitte's tech fast 50 2025 and finally; being recognised as one of LinkedIn’s top 20 Start Up’s in Australia 2025.

The difference you’ll make

We’re looking for a Data Engineer with solid experience in Python, SQL, and modern lakehouse architectures in AWS + Databricks. In this role, you’ll help design, build, and maintain highly scalable batch and streaming data pipelines, optimizing performance and ensuring robust data quality across the enterprise. You’ll work closely with senior engineers, analysts, and stakeholders to deliver reliable and efficient data solutions. The ideal candidate will have a solid engineering mindset, hands-on experience across the full data lifecycle, and a passion for modern cloud and AI-driven data ecosystems.

What you'll do:

• 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.

What you’ll bring:

Must-Have Skills

• 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.

Good-to-Have Skills

• Familiarity with AI-assisted development tools such as Cursor, GitHub Claude, or similar productivity-enhancing environments.
• Exposure to Power BI, Fabric Data Warehouse, and Semantic Models (DAX).
• Knowledge of data governance, lineage, and data quality frameworks.
• Experience with data platforms built in AWS.
• Understanding of DevOps principles and cloud cost optimization for data workloads.
• Experience integrating machine learning models or LLM-based workflows into data pipelines.

Our Culture And Benefits

Bridgit values its team, they are the heart of how we build this business. Along with competitive remuneration, slick offices and the chance to be part of an innovative, agile fintech, we also offer:

• 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!