Azure Data Engineer (ETL Pipelines & Middleware Integration)
Offer summary
Qualifications:
At least 6 years of experience in data engineering, focusing on ETL pipelines and Azure technologies., Proficiency in Azure Data Factory or Airflow, SQL, and Python for data transformations., Familiarity with middleware synchronization tools and writeback queue design., Experience with scheduling, payroll, estimating, or financial datasets is preferred..Key responsibilities:
- Develop and maintain automated ETL pipelines for business-critical data.
- Clean, validate, and transform structured files into normalized SQL staging layers.
- Ensure auditability and retry handling for data transfer jobs.
- Collaborate with developers and architects to align transformation logic with workflows.
Job description
This is a remote position.
Join one of the Philippines’ fastestgrowing tech companies!
Company Overview:
Full Scale is a tech services company that helps businesses build dedicated teams of skilled software engineers. We make finding and retaining experienced software talent easy and affordable.
Job Description:
We’re looking for a Senior Data Engineer to build and maintain automated ETL pipelines that support businesscritical data workflows. You’ll work with structured files, transform and validate data, and ensure seamless integration across systems.
Key Responsibilities:
Develop and maintain automated pipelines for extracting, transforming, and loading businesscritical data across systems.
-
Clean and validate structured files (e.g., time logs, estimates, receipts) into normalized SQL staging layers.
-
Convert transformed records into systemready formats and feed outbound sync queues.
-
Ensure auditability and retry handling for all data transfer jobs.
-
Collaborate with developers and architects to align transformation logic with enduser workflows.
-
Requirements
6+ years in data engineering, with a focus on ETL pipelines and Azure technologies
-
Proficient in Azure Data Factory or Airflow, SQL, and Python for data transformations
-
Familiar with middleware sync tools and writeback queue design
-
Experience working with scheduling, payroll, estimating, or financial datasets preferred
-
Strong understanding of Agile delivery cycles, and experience managing work via Jira
-
Ability to work iteratively, validate outputs in cycles, and support backlogdriven delivery
-
Benefits
Permanent Workfromhome or workanywhere setup
-
Workfromhome allowance
-
Health Insurance on day 1 of employment with free three (3) dependents
-
Group Term Life Insurance
-
A laptop and other equipment
-
Other top benefits
-
This role is open to Philippinebased candidates only.
Key Responsibilities:
Develop and maintain automated pipelines for extracting, transforming, and loading businesscritical data across systems.
Clean and validate structured files (e.g., time logs, estimates, receipts) into normalized SQL staging layers.
Convert transformed records into systemready formats and feed outbound sync queues.
Ensure auditability and retry handling for all data transfer jobs.
Collaborate with developers and architects to align transformation logic with enduser workflows.
-
6+ years in data engineering, with a focus on ETL pipelines and Azure technologies
Proficient in Azure Data Factory or Airflow, SQL, and Python for data transformations
Familiar with middleware sync tools and writeback queue design
Experience working with scheduling, payroll, estimating, or financial datasets preferred
Strong understanding of Agile delivery cycles, and experience managing work via Jira
Ability to work iteratively, validate outputs in cycles, and support backlogdriven delivery
-
Permanent Workfromhome or workanywhere setup
Workfromhome allowance
Health Insurance on day 1 of employment with free three (3) dependents
Group Term Life Insurance
A laptop and other equipment
Other top benefits
- This role is open to Philippinebased candidates only.
Benefits
Requirements
Required profile
Experience
Other Skills
- Scheduling
- Collaboration
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