Analytics Engineer

Bridge33 Capital; Philippines; Remote; PHP 900,000 - 1,300,000; Full time

Job summary

Bridge33 Capital is seeking an Analytics Engineer to build and maintain datasets powering decision-making across the business. You’ll model data from property management and accounting systems into clean sources of truth, and deliver dashboards and AI connectors that stakeholders rely on.

This hands-on role sits in a small, fast-moving team. You’ll tackle end-to-end challenges—from messy source systems to dbt modeling, data quality, and clear storytelling in English for a US-based audience.

Qualifications

• Strong SQL with advanced transformations and data modeling.
• Python for scripting, automation, and tooling.
• Git/GitHub/CI‑CD workflows and modern development practices.
• Experience building dashboards for business stakeholders (Power BI/Tableau/Looker).
• Excellent written and spoken English; comfortable with async collaboration.

Responsibilities

• Design, build, and maintain dbt data models as trusted sources of truth.
• Write optimized, well-tested SQL across the data platform.
• Understand data sources (property management, accounting, ops) and model them.
• Create dashboards and reports with stakeholders to answer questions with data.
• Write and run Python scripts to automate workflows and data movement.
• Follow Git/GitHub, CI/CD, docs, and data quality testing practices.
• Monitor and improve data quality to catch issues early.

Skills

SQL

Python scripting

Git CI/CD

Dashboards

English communication

Tools

Power BI

Tableau

Looker

dbt

Databricks

Snowflake

Fivetran

Airflow

Dagster

Job description

Analytics Engineer

Company : Bridge33 Capital

Job Type : Full Time Philippines

POSITION SUMMARY:

Bridge33 is looking for an Analytics Engineer to help build and maintain the datasets that power decision-making across the business. You'll work at the center of our data platform modeling raw data from our property management and financial systems into clean, tested, well‑documented sources of truth, and delivering reporting that business stakeholders use. This is a hands‑on role on a small, fast‑moving team. You'll have real problems end‑of‑end: from understanding a messy source system, to modeling it in dbt, to shipping dashboards and AI connectors and explaining the numbers to the people who depend on them.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Design, build, and maintain data models in dbt that serve as trusted sources of truth for the business.
• Write clearly, optimized, well‑tested SQL, this is the core of the job.
• Develop a deep understanding of our data sources (property management, accounting, and operational systems) and become a go‑to expert on their nuances.
• Build dashboards and reports for business stakeholders and partners with them to turn vague questions into concrete, data‑backed answers.
• Write and run Python scripts to automate workflows, move data, and eliminate manual processes.
• Follow modern development practices: version control with Git/GitHub, code review, CI/CD, documentation, and data quality testing.
• Proactively monitor and improve data quality catch issues before the business does.

Requirements

QUALIFICATIONS:

Must have

• Deep expertise in SQL: complex transformations, window functions, performance tuning, and a strong instinct for data modeling.
• Comfort with Python for scripting and automation writing, running, and debugging your own tools.
• Fluency with Git, GitHub, CI/CD, and modern development workflows (branches, pull requests, code review).
• Experience building dashboards and reports for business stakeholders (Power BI, Tableau, Looker, or similar) and communicating insights clearly.
• Strong written and spoken English; comfortable working async with a US‑based team.

Strongly preferred

• Experience with dbt and the modern data stack (Databricks, Snowflake, or similar cloud warehouse; Fivetran; orchestration tools like Airflow or Dagster).
• Experience in finance or real estate is comfortable with financial statements, terms, and metrics.

Bonus points

• Hands‑on experience with Yardi data or other real estate platform data (major brownie points for this one).

WORKING REQUIREMENTS

• Fully remote
• Fluent in English
• Will work 8:00 AM to 5:00 PM US Pacific Time (PST)