Junior Application and SQL Developer

SGS; Muntinlupa; On-site; PHP 400,000 - 650,000; Full time

Job summary

SGS, the world’s leading testing, inspection and certification company, is seeking a data-focused SQL developer to join our Manila site. You will maintain, enhance and operate the internal application through SQL, scripting, and data processing.

You will implement data extraction, validation and reporting, support CSV activities across the system lifecycle, and ensure compliance with GxP, 21 CFR Part 11/EU GMP Annex 11 and data integrity standards.

Qualifications

• Bachelor’s degree in computer science, bioinformatics or related discipline, or equivalent experience.
• 2+ years of experience in SQL development and scripting.
• Experience with CSV data handling and validation is a plus.
• Familiarity with regulated environments (GxP) is an asset.

Responsibilities

• Maintain and optimize SQL queries, views, stored procedures.
• Develop Perl scripts for data processing and automation.
• Investigate data issues and document root causes.
• Support CSV activities including IQ/OQ/PQ/UAT and traceability.
• Ensure data integrity and change control compliance.

Skills

SQL development

Perl or similar language

Excel & Office

Analytical thinking

English communication

Autonomous work

Education

Bachelor’s degree in computer science or related field

Tools

SQL Server

Excel

Job description

We are SGS – the world’s leading testing, inspection and certification company. We are recognized as the global benchmark for quality and integrity. Our 93,000 employees operate a network of 2,600 offices and laboratories, working together to enable a better, safer and more interconnected world.

Job Description

Primary Responsibilities

• Support the maintenance, enhancement and daily operation of the site's internally developed application through SQL queries, database programming and scripting.
• Understand requirements and deliver data extraction, processing and reporting solutions.
• Contribute to Computer System Validation (CSV) activities, ensuring the application and its data remain compliant with GxP and data integrity requirements.

Specific Responsibilities

• Write, test and optimize SQL queries, views, stored procedures and functions supporting application features, data requests and reports.
• Develop and maintain Perl (or similar) scripts for data processing, automation of recurring tasks and data imports/exports from flat files and Excel.
• Investigate and resolve application and data issues reported by users; document root cause and corrective actions.
• Perform data quality checks and reconciliations; support data corrections and migrations under change control.
• Support CSV activities across the system lifecycle: draft and execute test scripts (IQ/OQ/PQ, UAT), record test evidence, log deviations and maintain traceability matrices.
• Apply data integrity principles (ALCOA+) and 21 CFR Part 11 / EU GMP Annex 11 requirements for audit trails, electronic records and access controls.
• Follow change and version control practices; prepare and maintain technical documentation (data models, specifications, change records, user guides, SOP inputs).
• At all times, comply with SGS Code of Integrity and Professional Conduct. Remain familiar with SGS quality assurance procedures. Comply to all SGS QHSE and HR policies and procedures.
• Performs other related duties as may be assigned either in support of departmental goals or for his/her personal or professional training, education or development as programmed by his/her immediate superior.

Qualifications

Profile

• Bachelor’s degree in computer science, Bioinformatics or related discipline, or equivalent experience.
• 2+ years of experience in SQL development and/or scripting and programming.
• Experience with or strong interest in Computer System Validation (CSV) is an advantage.
• Affinity with regulated environments (GxP, quality systems) is considered an asset.

Skills

Required:

• Good verbal and written communication skills in English.
• SQL (Microsoft SQL Server or equivalent RDBMS): joins, aggregations, views, stored procedures.
• Perl or similar language (e.g., Python Delphi, VBS, C#, Java).
• Microsoft Excel (advanced) and Office tools.
• Strong problem-solving and analytical skills, critical thinking.
• Well organized, stress-resistant, and able to work autonomously.