Data Engineer (Service Desk) — Remote + Sign-On Bonus

Bridgit; Philippines; Remote; PHP 800,000 - 2,000,000; Full time

Benefits offered by this job

Birthday leave

Two weeks from anywhere

Learning & development programs

Social events

Job summary

Bridgit is seeking a Service Desk Data Engineer to be the primary interface for business data requests, bridging complex needs with efficient data delivery. You will serve as the go-to expert for urgent inquiries, ensuring stakeholders get insights when they need them.

You will transform manual processes into scalable, automated reports, reducing technical debt and fostering a self-service data culture across the enterprise.

Qualifications

• Proven experience with SQL data processing and Python data transformation.
• Experience with cloud data platforms (AWS) and Databricks.
• Git version control and CI/CD familiarity.

Responsibilities

• Prioritise, manage, and fulfill incoming data requests via JIRA Service Desk to ensure timely support for business stakeholders.
• Conduct deep-dive data investigation within source system databases to locate required datasets and identify optimal columns for extraction and transformation.
• Uphold governance by ensuring peer reviews and formal sign-off before release.
• Perform trend analysis on service desk requests to identify patterns and design automated reports that reduce ad-hoc traffic.
• Execute strategic development tasks, including building new data models, analytical insights, and reporting frameworks when not managing service desk flow.
• Maintain high-performance SQL queries and data pipelines with modular code and Git version control.

Skills

SQL

Python

AWS

Databricks

Git

Job description

Bridgit is seeking a Service Desk Data Engineer to be the primary interface for business data requests, bridging complex needs with efficient data delivery. You will serve as the go-to expert for urgent inquiries, ensuring stakeholders get insights when they need them.

You will transform manual processes into scalable, automated reports, reducing technical debt and fostering a self-service data culture across the enterprise.