Senior Data Protection Platform Engineer

bp
Full_timeKuala Lumpur, Malaysia

📍 Job Overview

  • Job Title: Senior Data Protection Platform Engineer
  • Company: bp
  • Location: Kuala Lumpur, Malaysia
  • Job Type: Full-Time, Hybrid
  • Category: DevOps Engineer, Data Engineer, Cybersecurity Specialist
  • Date Posted: June 18, 2025
  • Experience Level: Mid-Senior level (5-10 years)

🚀 Role Summary

  • Lead the design and implementation of enterprise-grade security frameworks for bp's core data platform.
  • Collaborate with cross-functional teams to integrate security controls and ensure compliance across unified data infrastructure.
  • Enhance platform performance, availability, and scalability through continuous optimization and modernization.
  • Leverage DevOps, CI/CD, and Infrastructure-as-Code (IaC) practices for consistent, scalable deployments.
  • Provide strategic input on platform investments, security risks, and operational improvements.

📝 Enhancement Note: This role requires a strong background in data protection, cybersecurity, and platform operations at scale. Candidates should expect to work in a dynamic, high-impact environment, collaborating with top technology and business leaders to deliver transformative data initiatives.

💻 Primary Responsibilities

  • Platform Architecture & Security: Design and implement robust, secure architecture for core data platforms, ensuring compliance with industry standards and best practices.
  • Cross-Functional Collaboration: Work closely with engineering, security, and operations teams to align platform solutions with business needs and address security risks.
  • Platform Modernization: Drive the transformation of legacy systems, ensuring seamless integration with enterprise IT and improved performance.
  • Security Monitoring & Automation: Develop and implement automated security monitoring, identity management, and vulnerability assessment solutions using DevOps and CI/CD practices.
  • Disaster Recovery & High Availability: Support disaster recovery and high-availability strategies across critical platforms to minimize downtime and ensure business continuity.
  • Platform Roadmap & Strategy: Partner with senior technical leaders to define and execute long-term platform roadmaps, aligning with business objectives and emerging technologies.

📝 Enhancement Note: This role requires a deep understanding of data engineering, security, and distributed systems architecture. Candidates should be comfortable working in large-scale cloud environments and have experience with big data technologies and cloud-native data solutions.

🎓 Skills & Qualifications

Education: Bachelor's degree in Computer Science, Engineering, or a related technical field.

Experience: Proven experience in enterprise technology, security, or platform operations at scale (5-10 years).

Required Skills:

  • Proficiency in big data technologies: Apache Spark, Hadoop, Kafka, Flink.
  • Experience with cloud platforms (AWS, GCP, Azure) and cloud-native data solutions (BigQuery, Redshift, Snowflake, Databricks).
  • Strong programming skills in SQL, Python, or Scala.
  • Understanding of data modeling, warehousing, and distributed systems architecture.
  • Expertise in Azure, AWS, Databricks, and Palantir environments.
  • Familiarity with data ingestion, governance, visualization, and multi-cloud data strategies.
  • Knowledge of performance tuning, indexing, and distributed query optimization.
  • Experience with real-time and batch streaming architectures.

Preferred Skills:

  • Experience working in regulated, compliance-heavy industries.
  • Demonstrated ability to manage enterprise-wide risk through secure architecture and governance.
  • Background in AI/ML-driven data engineering and intelligent workflow automation.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

  • Demonstrate your expertise in data protection, cybersecurity, and platform operations through relevant projects and case studies.
  • Showcase your ability to design and implement secure, scalable data platforms using big data technologies and cloud-native solutions.
  • Highlight your experience with data ingestion, governance, and visualization, as well as your understanding of performance tuning and optimization techniques.
  • Include examples of your work in real-time and batch streaming architectures, as well as your experience with disaster recovery and high-availability strategies.

Technical Documentation:

  • Provide detailed documentation of your projects, including code quality, commenting, and documentation standards.
  • Include version control, deployment processes, and server configuration details.
  • Demonstrate your understanding of testing methodologies, performance metrics, and optimization techniques through your technical documentation.

📝 Enhancement Note: While a portfolio is not explicitly required for this role, demonstrating your technical expertise and relevant experience through projects and case studies can significantly strengthen your application.

💵 Compensation & Benefits

Salary Range: The estimated salary range for this role in Kuala Lumpur, Malaysia is RM 150,000 - RM 250,000 per annum (USD 35,000 - USD 58,000), based on industry standards and regional adjustments.

Benefits:

  • Open and inclusive culture
  • Great work-life balance
  • Tremendous learning and development opportunities
  • Life and health insurance
  • Medical care package
  • Flexible working options
  • Collaboration spaces in a modern office environment

Working Hours: 40 hours per week, with flexible working options available.

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

🎯 Team & Company Context

Company Culture:

  • Industry: Energy, with a strong focus on digital transformation and innovation.
  • Company Size: Large (180,000+ employees worldwide), with a global presence and diverse workforce.
  • Founded: 1909, with a rich history and established brand in the energy sector.

Team Structure:

  • The technology team at bp is organized around business capabilities, with cross-functional collaboration between IT, data, and digital teams.
  • The data and analytics function is responsible for driving data strategy, governance, and innovation across the organization.
  • The team consists of data engineers, data scientists, data analysts, and data architects, working together to deliver data-driven insights and solutions.

Development Methodology:

  • Agile methodologies, with a focus on iterative development, continuous integration, and collaboration.
  • ITIL processes and governance frameworks are used to ensure consistent, high-quality service delivery.
  • Cloud-first strategy, with a focus on leveraging modern technologies and platforms to drive innovation and efficiency.

Company Website: https://www.bp.com/

📝 Enhancement Note: bp's culture values innovation, collaboration, and a commitment to sustainability. Candidates should expect to work in a dynamic, global environment, driving data initiatives that support the company's strategic objectives.

📈 Career & Growth Analysis

Web Technology Career Level: Senior Data Protection Platform Engineer - Responsible for leading the design and implementation of secure, scalable data platforms, collaborating with cross-functional teams to ensure compliance and drive modernization efforts.

Reporting Structure: This role reports directly to the Data Platform Manager and collaborates with various teams, including data engineering, data science, data analytics, and cybersecurity.

Technical Impact: This role has a significant impact on bp's data security, compliance, and overall data strategy. The successful candidate will play a critical role in protecting the company's most critical data assets and driving innovation in data protection and management.

Growth Opportunities:

  • Technical Growth: Develop expertise in emerging data technologies, cloud platforms, and cybersecurity trends to drive innovation and improve bp's data capabilities.
  • Leadership Development: Gain experience managing enterprise-wide risk, driving secure architecture, and governance to build your leadership skills and prepare for roles in data architecture, data management, or cybersecurity leadership.
  • Career Progression: Leverage your experience in data protection and platform operations to transition into roles such as Chief Data Officer, Chief Information Security Officer, or other senior leadership positions within the technology function.

📝 Enhancement Note: This role offers significant opportunities for career growth and development, with the potential to make a tangible impact on bp's data strategy and digital transformation efforts.

🌐 Work Environment

Office Type: Modern, collaborative office environment with flexible working options and collaboration spaces.

Office Location(s): Kuala Lumpur, Malaysia

Workspace Context:

  • Collaborative Environment: Work closely with cross-functional teams, including data engineers, data scientists, data analysts, and cybersecurity specialists, to drive data initiatives and improve bp's data capabilities.
  • Development Tools & Resources: Leverage modern development tools, such as big data technologies, cloud platforms, and AI/ML tools, to drive innovation and improve data quality, security, and accessibility.
  • Work Schedule: Flexible working options, with a focus on results and deliverables rather than strict working hours.

Work Schedule: 40 hours per week, with flexible working options available.

📝 Enhancement Note: bp's work environment values collaboration, innovation, and a commitment to sustainability. Candidates should expect to work in a dynamic, global environment, driving data initiatives that support the company's strategic objectives.

📄 Application & Technical Interview Process

Interview Process:

  1. Phone Screen: A brief phone call to discuss your experience, skills, and career goals (30 minutes).
  2. Technical Assessment: A hands-on assessment of your technical skills, focusing on data protection, cybersecurity, and platform operations (60-90 minutes).
  3. Behavioral Interview: A conversation to assess your cultural fit, problem-solving skills, and ability to work collaboratively in a dynamic environment (60 minutes).
  4. Final Interview: A meeting with senior leadership to discuss your career aspirations, fit for the role, and next steps (30-60 minutes).

Portfolio Review Tips:

  • Highlight your experience in data protection, cybersecurity, and platform operations through relevant projects and case studies.
  • Demonstrate your ability to design and implement secure, scalable data platforms using big data technologies and cloud-native solutions.
  • Showcase your understanding of data ingestion, governance, visualization, and performance tuning techniques.
  • Prepare examples of your work in real-time and batch streaming architectures, as well as your experience with disaster recovery and high-availability strategies.

Technical Challenge Preparation:

  • Brush up on your knowledge of big data technologies, cloud platforms, and cybersecurity best practices.
  • Practice designing and implementing secure, scalable data platforms using relevant tools and technologies.
  • Familiarize yourself with bp's data strategy, governance, and compliance requirements.

ATS Keywords: Data Protection, Cybersecurity, Infrastructure, DevOps, CI/CD, Cloud Platforms, Data Engineering, Data Governance, Programming, Data Modeling, Performance Tuning, Data Visualization, Risk Management, AI/ML, Automation, Compliance, Enterprise Technology, Security, Platform Operations, Big Data Technologies, Cloud-Native Data Solutions, Distributed Systems Architecture.

📝 Enhancement Note: The interview process for this role is designed to assess your technical skills, cultural fit, and ability to drive data initiatives in a dynamic, global environment. Candidates should expect a comprehensive evaluation of their experience, skills, and potential to contribute to bp's digital transformation efforts.

🛠 Technology Stack & Web Infrastructure

Frontend Technologies: Not applicable, as this role focuses on data protection, cybersecurity, and platform operations.

Backend & Server Technologies:

  • Cloud platforms: AWS, GCP, Azure
  • Big data technologies: Apache Spark, Hadoop, Kafka, Flink
  • Data warehousing and data management: Snowflake, Redshift, Databricks, BigQuery
  • Programming languages: SQL, Python, Scala
  • Infrastructure-as-Code (IaC) tools: AWS CDK, Azure Bicep, Terraform
  • Cybersecurity tools: Palantir, Azure Sentinel, AWS GuardDuty, Cloudflare

Development & DevOps Tools:

  • Version control: Git, GitHub
  • CI/CD pipelines: Jenkins, GitHub Actions, Azure DevOps
  • Containerization: Docker, Kubernetes
  • Monitoring and logging: Prometheus, Grafana, ELK Stack
  • Infrastructure as Code (IaC) tools: AWS CDK, Azure Bicep, Terraform

📝 Enhancement Note: This role requires expertise in a wide range of technologies, including big data technologies, cloud platforms, and cybersecurity tools. Candidates should be comfortable working in large-scale cloud environments and have experience with relevant tools and technologies.

👥 Team Culture & Values

Web Development Values:

  • Security-First: Prioritize data protection, cybersecurity, and compliance in all aspects of platform design, implementation, and maintenance.
  • Collaboration: Work closely with cross-functional teams, including data engineers, data scientists, data analysts, and cybersecurity specialists, to drive data initiatives and improve bp's data capabilities.
  • Innovation: Leverage emerging technologies, tools, and best practices to drive continuous improvement and modernization of bp's data platforms.
  • Performance & Scalability: Focus on enhancing platform performance, availability, and scalability through continuous optimization and modernization efforts.
  • Governance & Compliance: Ensure adherence to industry standards, best practices, and regulatory requirements in all aspects of data protection, management, and governance.

Collaboration Style:

  • Cross-Functional Collaboration: Work closely with various teams, including data engineering, data science, data analytics, and cybersecurity, to align platform solutions with business needs and address security risks.
  • Agile Methodologies: Leverage Agile methodologies, including iterative development, continuous integration, and collaboration, to drive data initiatives and improve bp's data capabilities.
  • Knowledge Sharing: Foster a culture of knowledge sharing, technical mentoring, and continuous learning to drive personal and professional growth within the team.

📝 Enhancement Note: bp's team culture values collaboration, innovation, and a commitment to sustainability. Candidates should expect to work in a dynamic, global environment, driving data initiatives that support the company's strategic objectives.

⚡ Challenges & Growth Opportunities

Technical Challenges:

  • Data Protection & Security: Design and implement robust, secure architecture for core data platforms, ensuring compliance with industry standards and best practices.
  • Platform Modernization: Drive the transformation of legacy systems, ensuring seamless integration with enterprise IT and improved performance.
  • Data Governance & Compliance: Ensure adherence to industry standards, best practices, and regulatory requirements in all aspects of data protection, management, and governance.
  • Performance Optimization: Enhance platform performance, availability, and scalability through continuous optimization and modernization efforts.
  • Emerging Technologies: Stay up-to-date with emerging technologies, tools, and best practices to drive continuous improvement and modernization of bp's data platforms.

Learning & Development Opportunities:

  • Technical Skill Development: Develop expertise in emerging data technologies, cloud platforms, and cybersecurity trends to drive innovation and improve bp's data capabilities.
  • Leadership Development: Gain experience managing enterprise-wide risk, driving secure architecture, and governance to build your leadership skills and prepare for roles in data architecture, data management, or cybersecurity leadership.
  • Career Progression: Leverage your experience in data protection and platform operations to transition into roles such as Chief Data Officer, Chief Information Security Officer, or other senior leadership positions within the technology function.

📝 Enhancement Note: This role offers significant opportunities for career growth and development, with the potential to make a tangible impact on bp's data strategy and digital transformation efforts.

💡 Interview Preparation

Technical Questions:

  • Data Protection & Security: Describe your approach to designing and implementing secure, scalable data platforms. Provide examples of your experience with big data technologies, cloud platforms, and cybersecurity best practices.
  • Platform Modernization: Discuss your experience driving the transformation of legacy systems, ensuring seamless integration with enterprise IT and improved performance. Highlight your understanding of data migration, integration, and performance optimization techniques.
  • Data Governance & Compliance: Explain your approach to ensuring adherence to industry standards, best practices, and regulatory requirements in all aspects of data protection, management, and governance. Provide examples of your experience with data governance frameworks, compliance management, and risk assessment.
  • Performance Optimization: Describe your experience enhancing platform performance, availability, and scalability through continuous optimization and modernization efforts. Highlight your understanding of performance tuning, indexing, and distributed query optimization techniques.
  • Emerging Technologies: Discuss your experience staying up-to-date with emerging technologies, tools, and best practices to drive continuous improvement and modernization of bp's data platforms. Provide examples of your work with emerging technologies, such as AI/ML-driven data engineering and intelligent workflow automation.

Company & Culture Questions:

  • Company Culture: Explain what aspects of bp's culture appeal to you and how you would contribute to the team's success in driving data initiatives and improving bp's data capabilities.
  • Collaboration & Teamwork: Describe your experience working in cross-functional teams, including data engineers, data scientists, data analysts, and cybersecurity specialists. Highlight your ability to collaborate effectively and drive data initiatives in a dynamic, global environment.
  • Innovation & Problem-Solving: Provide examples of your experience driving innovation and solving complex problems in data protection, cybersecurity, and platform operations. Discuss your approach to continuous learning and improvement.

Portfolio Presentation Strategy:

  • Project Selection: Choose projects that demonstrate your expertise in data protection, cybersecurity, and platform operations. Highlight your ability to design and implement secure, scalable data platforms using big data technologies and cloud-native solutions.
  • Storytelling: Prepare a compelling narrative that showcases your technical skills, problem-solving abilities, and cultural fit for the role. Focus on the impact you made in previous projects and the value you can bring to bp's data initiatives.
  • Technical Deep Dive: Prepare to discuss the technical details of your projects, including the tools, technologies, and methodologies you used. Be ready to answer questions about your approach to data protection, cybersecurity, and platform operations.

📝 Enhancement Note: The interview process for this role is designed to assess your technical skills, cultural fit, and ability to drive data initiatives in a dynamic, global environment. Candidates should expect a comprehensive evaluation of their experience, skills, and potential to contribute to bp's digital transformation efforts.

📌 Application Steps

To apply for this Senior Data Protection Platform Engineer position:

  1. Resume Optimization: Tailor your resume to highlight your experience in data protection, cybersecurity, and platform operations. Include relevant projects, case studies, and technical skills to demonstrate your qualifications for the role.
  2. Portfolio Preparation: Prepare a portfolio that showcases your expertise in data protection, cybersecurity, and platform operations. Include projects that demonstrate your ability to design and implement secure, scalable data platforms using big data technologies and cloud-native solutions.
  3. Technical Interview Preparation: Brush up on your knowledge of big data technologies, cloud platforms, and cybersecurity best practices. Practice designing and implementing secure, scalable data platforms using relevant tools and technologies. Familiarize yourself with bp's data strategy, governance, and compliance requirements.
  4. Company Research: Conduct thorough research on bp's data strategy, governance, and compliance requirements. Understand the company's culture, values, and commitment to sustainability. Prepare questions to ask during the interview process to demonstrate your interest and engagement with the role and the company.

📝 Enhancement Note: The application process for this role is designed to assess your technical skills, cultural fit, and ability to drive data initiatives in a dynamic, global environment. Candidates should expect a comprehensive evaluation of their experience, skills, and potential to contribute to bp's digital transformation efforts.


Content Guidelines (IMPORTANT: Do not include this in the output)

Web Technology-Specific Focus:

  • Tailor every section specifically to data protection, cybersecurity, and platform operations roles.
  • Include big data technologies, cloud platforms, and cybersecurity best practices throughout the description.
  • Emphasize data protection, security, and compliance in all aspects of platform design, implementation, and maintenance.
  • Address data governance, management, and compliance requirements, as well as emerging technologies and trends in data protection and cybersecurity.

Quality Standards:

  • Ensure no content overlap between sections - each section must contain unique information.
  • Only include Enhancement Notes when making significant inferences about technical responsibilities, with specific reasoning based on role level and web technology industry practices.
  • Be comprehensive but concise, prioritizing actionable information over descriptive text.
  • Strategically distribute web technology and cybersecurity-related keywords throughout all sections naturally.
  • Provide realistic salary ranges based on location, experience level, and web technology specialization.

Industry Expertise:

  • Include specific big data technologies, cloud platforms, and cybersecurity tools relevant to the role.
  • Address data protection, cybersecurity, and platform operations career progression paths and technical leadership opportunities.
  • Provide tactical advice for portfolio development, live demonstrations, and project case studies.
  • Include data protection, security, and compliance interview preparation and coding challenge guidance.
  • Emphasize data protection, security, and compliance interview questions and company-specific context.

Professional Standards:

  • Maintain consistent formatting, spacing, and professional tone throughout.
  • Use data protection, cybersecurity, and platform operations industry terminology appropriately and accurately.
  • Include comprehensive benefits and growth opportunities relevant to data protection, cybersecurity, and platform operations professionals.
  • Provide actionable insights that give candidates a competitive advantage in the interview process.
  • Focus on data protection, security, and compliance interview questions and company-specific context.

Technical Focus & Portfolio Emphasis:

  • Emphasize data protection, security, and compliance best practices, big data technologies, and cloud platforms.
  • Include specific portfolio requirements tailored to data protection, cybersecurity, and platform operations roles.
  • Address data ingestion, governance, visualization, and performance tuning techniques.
  • Focus on problem-solving methods, performance optimization, and scalable architecture design for data protection and cybersecurity.
  • Include technical presentation skills and stakeholder communication for data protection and cybersecurity projects.

Avoid:

  • Generic business jargon not relevant to data protection, cybersecurity, and platform operations roles.
  • Placeholder text or incomplete sections.
  • Repetitive content across different sections.
  • Non-technical terminology unless relevant to data protection, cybersecurity, and platform operations roles.
  • Marketing language unrelated to data protection, security, and compliance.

Generate comprehensive, web technology-focused content that serves as a valuable resource for data protection, cybersecurity, and platform operations professionals seeking their next opportunity and preparing for technical interviews in the data protection and cybersecurity industry.

Application Requirements

Candidates should have a bachelor's degree in a technical field and proven experience in enterprise technology and security. Hands-on experience with CI/CD, DevOps practices, and familiarity with big data technologies and cloud platforms is essential.