📍 Job Overview

• Job Title: Data Protection Platform Engineer
• Company: bp
• Location: Kuala Lumpur, Malaysia
• Job Type: Full-Time
• Category: DevOps Engineer, Platform Engineer
• Date Posted: June 25, 2025
• Experience Level: 2-5 years
• Remote Status: Hybrid (Office/Remote)

🚀 Role Summary

• Key Responsibilities: Support data platform configuration, integration, and maintenance; contribute to CI/CD pipeline implementation; ensure platform performance, availability, and reliability; collaborate on security tasks; help deliver data pipelines and platform features across multi-cloud environments; contribute to documentation, testing processes, and overall platform workflow improvements; ensure platforms meet enterprise data compliance, governance, and security standards.

• Key Skills: Data Engineering, Platform Operations, CI/CD, Infrastructure-as-Code, Cloud Platforms, Scripting, Data Governance, Collaboration, Security Fundamentals, Data Visualization, Distributed Systems, Real-time Processing, Batch Processing, Agility Core Practices, Documentation, Metrics Definition.

💻 Primary Responsibilities

• Platform Support & Maintenance:

  • Support configuration, integration, and maintenance of enterprise-grade data platforms.
  • Assist in monitoring and enhancing platform performance, availability, and reliability.
  • Ensure platforms meet enterprise data compliance, governance, and security standards.

• CI/CD Pipeline & Infrastructure-as-Code:

  • Contribute to CI/CD pipeline implementation and adopt Infrastructure-as-Code to drive efficiency and consistency.
  • Help deliver data pipelines and platform features across multi-cloud environments.

• Security & Compliance:

  • Collaborate on fundamental security tasks including access control, monitoring, and remediation.
  • Ensure platforms meet enterprise data compliance, governance, and security standards.

• Documentation & Workflow Improvement:

  • Contribute to documentation, testing processes, and overall platform workflow improvements.

🎓 Skills & Qualifications

Education: Bachelor’s degree or equivalent experience in a technology-related field.

Experience: 2-4 years in IT, data engineering, or platform operations roles.

Required Skills:

• Familiarity with CI/CD tools and Infrastructure-as-Code frameworks (e.g., Terraform, Azure Bicep, AWS CDK).
• Basic scripting or automation skills using Python, Java, or Scala.
• Exposure to cloud data tools and frameworks like Apache Airflow, Spark, or Kafka.
• Understanding of data lakes, data modeling, SQL/NoSQL databases, and cloud-native architectures.
• Strong collaboration skills and ability to work within structured engineering processes.

Preferred Skills:

• Experience working in global, highly regulated environments, with a focus on compliance and risk management.
• Exposure to AI/ML-powered data engineering workflows, leveraging automation to streamline data operations.

📊 Web Portfolio & Project Requirements

• Portfolio Essentials:

  • Demonstrate experience with data platforms, CI/CD pipelines, and Infrastructure-as-Code.
  • Showcase projects that highlight data pipeline development, platform feature delivery, and security implementation.
  • Include examples of platform performance optimization, availability, and reliability enhancement.

• Technical Documentation:

  • Provide documentation samples showcasing platform configuration, integration, and maintenance processes.
  • Include examples of CI/CD pipeline implementation, Infrastructure-as-Code adoption, and platform workflow improvements.
  • Demonstrate understanding of data compliance, governance, and security standards through relevant documentation.

💵 Compensation & Benefits

Salary Range: Not specified. Research shows the average salary for a Data Protection Platform Engineer in Kuala Lumpur, Malaysia, ranges from RM 120,000 to RM 180,000 per year (USD 28,000 to USD 42,000).

Benefits:

• Life and Health Insurance
• Medical Care Package
• Flexible Working Options
• Collaboration Spaces

Working Hours: 40 hours per week, with flexibility for deployment windows, maintenance, and project deadlines.

📝 Enhancement Note: The salary range provided is an estimate based on market research and may vary depending on the candidate's experience, skills, and the company's internal salary structure.

🎯 Team & Company Context

Company Culture:

• Industry: Energy
• Company Size: Large (Over 75,000 employees)
• Founded: 1909
• Team Structure: The IT & S Group consists of various teams working on data platforms, enterprise applications, and digital transformation initiatives.
• Development Methodology: Agile, with a focus on collaboration, continuous improvement, and delivery.

Career & Growth Analysis:

• Web Technology Career Level: Mid-level to senior-level platform engineer, responsible for supporting, maintaining, and enhancing data platforms that power enterprise applications.
• Reporting Structure: Reports to the Data Platforms Team Lead, collaborating with engineers, architects, and other stakeholders.
• Technical Impact: Contributes to the development, integration, and security of data platforms, ensuring high performance, resilience, and compliance across bp’s cloud and data infrastructure.

Growth Opportunities:

• Technical Growth: Deepen platform engineering skills, gain exposure to emerging technologies, and contribute to impactful, real-world solutions.
• Leadership Potential: Demonstrate strong technical leadership, mentoring, and architecture decision-making skills to progress into senior roles.

Work Environment:

• Office Type: Modern office environment with collaboration spaces.
• Office Location(s): Kuala Lumpur, Malaysia.
• Workspace Context: Work alongside engineers and architects, collaborating with technology and business partners to advance bp’s digital transformation.
• Work Schedule: Hybrid work arrangement, with flexibility for deployment windows, maintenance, and project deadlines.

📝 Enhancement Note: The work environment and schedule may vary depending on the specific team and project requirements.

📄 Application & Technical Interview Process

Interview Process:

1. Technical Assessment: Demonstrate proficiency in data platform configuration, integration, and maintenance; showcase CI/CD pipeline implementation and Infrastructure-as-Code adoption; explain platform performance optimization, availability, and reliability enhancement strategies.
2. Cultural Fit Assessment: Discuss your collaboration skills, learning mindset, and adaptability to new technologies in platform and data engineering.
3. Final Evaluation: Present your portfolio, highlighting your experience with data platforms, CI/CD pipelines, and security implementation; discuss your approach to data compliance, governance, and security standards.

Portfolio Review Tips:

• Portfolio Tip 1: Highlight your experience with data platforms, CI/CD pipelines, and security implementation through relevant projects and case studies.
• Portfolio Tip 2: Include examples of platform performance optimization, availability, and reliability enhancement to demonstrate your technical expertise.
• Portfolio Tip 3: Showcase your understanding of data compliance, governance, and security standards through relevant documentation and examples.

Technical Challenge Preparation:

• Challenge Preparation 1: Brush up on your data platform configuration, integration, and maintenance skills, as well as your familiarity with CI/CD pipelines and Infrastructure-as-Code.
• Challenge Preparation 2: Prepare for questions about platform performance optimization, availability, and reliability enhancement strategies.
• Challenge Preparation 3: Familiarize yourself with bp’s data platforms, enterprise applications, and digital transformation initiatives to show your understanding of the company’s context.

ATS Keywords: Data Engineering, Platform Operations, CI/CD, Infrastructure-as-Code, Cloud Platforms, Scripting, Data Governance, Collaboration, Security Fundamentals, Data Visualization, Distributed Systems, Real-time Processing, Batch Processing, Agility Core Practices, Documentation, Metrics Definition.

📝 Enhancement Note: The interview process and technical challenge preparation may vary depending on the specific role and the company’s internal recruitment process.

📌 Application Steps

To apply for this Data Protection Platform Engineer position:

• Submit your application through the application link.
• Customize your resume and portfolio to highlight your experience with data platforms, CI/CD pipelines, and security implementation.
• Prepare for the technical assessment, cultural fit assessment, and final evaluation by reviewing the interview process and technical challenge preparation tips.
• Research bp’s data platforms, enterprise applications, and digital transformation initiatives to demonstrate your understanding of the company’s context.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and web development/server administration industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.