Senior Database engineer at bp

📍 Job Overview

Job Title: Senior Database Engineer
Company: bp
Location: Kuala Lumpur, Malaysia
Job Type: Hybrid (Office/Remote)
Category: Database Administration, Data Engineering
Date Posted: June 18, 2025
Experience Level: 5-10 years
Remote Status: Hybrid

🚀 Role Summary

Design, build, and maintain scalable data infrastructure to support advanced analytics and business intelligence
Collaborate with cross-functional teams, including data engineers, software engineers, data scientists, and business stakeholders
Ensure robust, efficient, and scalable data pipelines
Apply software engineering best practices, including code reviews, automated testing, and documentation
Contribute to improving developer velocity and team performance through mentoring and technical leadership

📝 Enhancement Note: This role requires a strong background in database management, data modeling, and software engineering to succeed in a collaborative, high-performing team environment.

💻 Primary Responsibilities

Architect, implement, and maintain scalable and reliable data infrastructure
- Design and implement data pipelines and ETL processes
- Ensure data quality, security, and compliance
- Collaborate with stakeholders to understand data requirements and provide technical solutions
Develop, integrate, and maintain software to process, manage, and ensure the quality of data
- Write efficient SQL queries and optimize database performance
- Develop and maintain data integration pipelines across diverse platforms
- Implement data modeling, schema design, and scalable architecture
Apply software engineering best practices
- Conduct code reviews and ensure code quality
- Implement automated testing and documentation
- Follow Agile methodologies and contribute to continuous improvement
Design and maintain secure, compliant software and CI/CD pipelines
- Ensure software and infrastructure security
- Implement access controls and data privacy measures
- Follow best practices for CI/CD pipeline design and maintenance
Ensure service reliability through site reliability engineering (SRE) practices
- Participate in on-call rotations and manage service level agreements (SLAs)
- Monitor system performance and address issues proactively
- Implement infrastructure as code and containerize server deployments
Mentor team members and contribute to improving team performance
- Provide technical guidance and support to team members
- Lead technical initiatives and drive innovation
- Foster a culture of learning and continuous improvement

🎓 Skills & Qualifications

Education: Bachelor's degree in Computer Science or a related field, or equivalent practical experience

Experience: Proven experience designing and operating scalable data platforms and services (5-10 years)

Required Skills:

Strong programming skills in TypeScript, C#, and Python
Deep expertise in SQL, including writing, optimizing, and maintaining complex queries
Experience with data modeling, schema design, and scalable architecture
Proficiency in building and maintaining data integration pipelines across diverse platforms
Knowledge of database performance optimization techniques such as indexing and partitioning
Excellent collaboration skills and the ability to lead technical initiatives through influence
Commitment to continuous improvement, operational excellence, and learning

Preferred Skills:

Experience with cloud platforms (AWS, Azure, Google Cloud)
Familiarity with big data technologies (Hadoop, Spark, Hive)
Knowledge of data warehousing and data lakes
Experience with containerization (Docker, Kubernetes) and infrastructure as code (Terraform, CloudFormation)
Familiarity with Agile methodologies and DevOps practices

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Data Pipeline Projects: Demonstrate your ability to design, implement, and maintain efficient data pipelines using relevant tools and technologies
Database Optimization: Showcase your expertise in optimizing database performance through indexing, partitioning, and other techniques
Data Modeling & Schema Design: Present examples of data modeling, schema design, and scalable architecture for complex datasets
Collaboration & Leadership: Highlight your ability to collaborate with cross-functional teams and lead technical initiatives through influence

Technical Documentation:

Code Documentation: Provide clear and concise documentation for your code, including comments, function descriptions, and data dictionary
Data Lineage & Metadata: Demonstrate your ability to track data lineage and maintain accurate metadata for data quality and governance
Project Documentation: Prepare a project case study or technical report detailing your approach to a complex data engineering challenge

📝 Enhancement Note: Tailor your portfolio to highlight your experience with relevant technologies, collaboration skills, and technical leadership. Include live demos and case studies to showcase your problem-solving skills and ability to deliver real-world impact.

💵 Compensation & Benefits

Salary Range: RM 250,000 - RM 350,000 per year (Malaysian Ringgit, based on market research and industry standards for senior database engineers in Kuala Lumpur)

Benefits:

Life and Health Insurance
Medical Care Package
Flexible Working Options
Collaboration Spaces
Learning and Development Opportunities

Working Hours: Full-time (40 hours/week) with flexible working hours and remote work options

📝 Enhancement Note: The salary range is estimated based on market research and industry standards for senior database engineers in Kuala Lumpur, Malaysia. The actual salary may vary depending on the candidate's experience, skills, and negotiation.

🎯 Team & Company Context

🏢 Company Culture

Industry: Energy, with a focus on data-driven decision-making and digital transformation

Company Size: Large (over 70,000 employees globally), with a matrix organization structure and a strong focus on collaboration and innovation

Founded: 1909, with a rich history in the energy industry and a commitment to sustainability and low-carbon transition

Team Structure:

Data & Analytics Team: Collaborate with data engineers, data scientists, and business analysts to deliver advanced analytics and business intelligence solutions
Technology Team: Work with software engineers, DevOps engineers, and IT specialists to develop and maintain cutting-edge compute and data platforms
Matrix Organization: Collaborate with stakeholders across the organization to understand data requirements and provide technical solutions

Development Methodology:

Agile: Follow Agile methodologies, including Scrum and Kanban, to deliver projects efficiently and iteratively
Continuous Integration/Continuous Deployment (CI/CD): Implement CI/CD pipelines to automate testing, deployment, and infrastructure management
Infrastructure as Code (IaC): Use IaC tools, such as Terraform and CloudFormation, to manage infrastructure programmatically and ensure consistency

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

📝 Enhancement Note: bp is a large, global energy company with a strong focus on data-driven decision-making and digital transformation. The company values collaboration, innovation, and continuous learning, providing a dynamic and high-performing team environment for database engineers.

📈 Career & Growth Analysis

Web Technology Career Level: Senior Database Engineer, responsible for designing, building, and maintaining scalable data infrastructure, as well as mentoring and leading technical initiatives

Reporting Structure: Matrix organization, reporting to both the Data & Analytics team and the Technology team, with a strong focus on collaboration and stakeholder management

Technical Impact: Drive data-driven decision-making and business intelligence by ensuring robust, efficient, and scalable data pipelines

Growth Opportunities:

Technical Leadership: Develop your technical leadership skills by mentoring team members, leading technical initiatives, and driving innovation
Architecture & Design: Expand your expertise in data architecture and design by working on complex, large-scale data projects
Domain Expertise: Deepen your knowledge in specific domains, such as energy trading, upstream operations, or downstream marketing, to become a subject matter expert

📝 Enhancement Note: As a senior database engineer at bp, you will have the opportunity to grow your technical leadership skills, expand your expertise in data architecture and design, and become a subject matter expert in specific domains. The company's matrix organization structure and focus on collaboration provide ample opportunities for career growth and development.

🌐 Work Environment

Office Type: Modern, collaborative office environment with flexible workspaces and collaboration areas

Office Location(s): Kuala Lumpur, Malaysia, with hybrid work arrangements and remote work options

Workspace Context:

Collaborative Workspaces: Work in open, collaborative spaces with easy access to meeting rooms, whiteboards, and other collaboration tools
Technology & Tools: Use modern hardware, software, and tools to support your work, including high-performance workstations, multiple monitors, and testing devices
Cross-Functional Collaboration: Work closely with data engineers, software engineers, data scientists, and business stakeholders to deliver data-driven solutions

Work Schedule: Hybrid work arrangement, with a mix of office and remote work, and flexible working hours to support work-life balance

📝 Enhancement Note: bp provides a modern, collaborative work environment with flexible workspaces and remote work options. The company's focus on cross-functional collaboration and work-life balance creates an ideal work environment for database engineers.

📄 Application & Technical Interview Process

Interview Process:

Phone/Video Screen: A brief conversation to assess your communication skills, technical background, and cultural fit
Technical Assessment: A hands-on technical assessment, focusing on your database management, data modeling, and software engineering skills
Behavioral & Situational Interview: An in-depth discussion of your problem-solving skills, leadership capabilities, and cultural fit
Final Evaluation: A panel interview with senior leaders to assess your overall fit for the role and the organization

Portfolio Review Tips:

Data Pipeline Projects: Highlight your ability to design, implement, and maintain efficient data pipelines using relevant tools and technologies
Database Optimization: Demonstrate your expertise in optimizing database performance through indexing, partitioning, and other techniques
Data Modeling & Schema Design: Present examples of data modeling, schema design, and scalable architecture for complex datasets
Collaboration & Leadership: Emphasize your ability to collaborate with cross-functional teams and lead technical initiatives through influence

Technical Challenge Preparation:

Database Management: Brush up on your SQL skills, database performance optimization techniques, and data modeling concepts
Software Engineering: Review your knowledge of software engineering best practices, including code reviews, automated testing, and documentation
Problem-Solving: Practice solving complex data engineering challenges and presenting your solutions clearly and concisely

ATS Keywords: Database Administration, Data Engineering, SQL, Data Modeling, Schema Design, Scalable Architecture, Data Pipeline, ETL, Agile, CI/CD, Infrastructure as Code, Cloud Platforms, Big Data, Energy, Oil & Gas, Hybrid Work, Matrix Organization, Technical Leadership, Career Growth

📝 Enhancement Note: The interview process for the senior database engineer role at bp is designed to assess your technical skills, problem-solving abilities, and cultural fit. Tailor your portfolio and preparation strategy to highlight your experience with relevant technologies, collaboration skills, and technical leadership.

🛠 Technology Stack & Web Infrastructure

Database Technologies:

Relational Databases: Microsoft SQL Server, MySQL, PostgreSQL
Big Data Platforms: Hadoop, Spark, Hive
Cloud Databases: Amazon RDS, Azure SQL Database, Google Cloud SQL

Programming Languages:

TypeScript, C#, Python, SQL

Data Modeling & Schema Design Tools:

ER/Studio, dbdiagram.io, Lucidchart

Data Integration & ETL Tools:

Talend, Pentaho, Apache Airflow, AWS Glue

Infrastructure as Code (IaC) Tools:

Terraform, CloudFormation, Azure Resource Manager (ARM)

Cloud Platforms:

Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP)

📝 Enhancement Note: bp uses a diverse set of database technologies, programming languages, and cloud platforms to support its global operations. Familiarize yourself with the company's technology stack and be prepared to discuss your experience with relevant tools and technologies during the interview process.

👥 Team Culture & Values

Web Development Values:

Collaboration: Work closely with cross-functional teams to deliver data-driven solutions that meet business needs
Innovation: Continuously learn and explore new technologies and approaches to improve data management and analytics
Quality: Ensure data accuracy, reliability, and security through rigorous testing, monitoring, and governance
Agility: Adapt to changing requirements and priorities by following Agile methodologies and continuous improvement practices

Collaboration Style:

Cross-Functional Integration: Work closely with data engineers, software engineers, data scientists, and business stakeholders to deliver data-driven solutions
Code Review Culture: Conduct regular code reviews to ensure code quality, knowledge sharing, and continuous improvement
Knowledge Sharing: Foster a culture of learning and continuous improvement by sharing knowledge, mentoring team members, and participating in training and development activities

📝 Enhancement Note: bp values collaboration, innovation, quality, and agility in its data management and analytics practices. The company's cross-functional integration, code review culture, and knowledge-sharing approach create a dynamic and high-performing team environment for database engineers.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Data Governance & Security: Ensure data privacy, security, and compliance in a complex, global organization
Data Quality & Consistency: Maintain data quality and consistency across diverse data sources and platforms
Scalability & Performance: Design and implement scalable data infrastructure that can handle increasing data volumes and user demand
Data-Driven Decision-Making: Collaborate with business stakeholders to understand data requirements and provide technical solutions that support data-driven decision-making

Learning & Development Opportunities:

Technical Skills Development: Expand your knowledge of database technologies, programming languages, and cloud platforms through training, workshops, and online resources
Leadership & Management Development: Develop your leadership and management skills through mentoring, coaching, and participation in leadership development programs
Domain Expertise: Deepen your knowledge in specific domains, such as energy trading, upstream operations, or downstream marketing, through targeted training and development activities

📝 Enhancement Note: As a senior database engineer at bp, you will face technical challenges related to data governance, security, quality, scalability, and performance. The company offers numerous learning and development opportunities to help you expand your technical skills, leadership capabilities, and domain expertise.

💡 Interview Preparation

Technical Questions:

Database Management: Describe your experience with database management, data modeling, and schema design. Provide examples of complex queries you've written, optimized, and maintained.
Data Pipeline & ETL: Explain your approach to designing, implementing, and maintaining data pipelines and ETL processes. Describe your experience with relevant tools and technologies.
Software Engineering: Discuss your knowledge of software engineering best practices, including code reviews, automated testing, and documentation. Provide examples of how you've applied these practices in your work.
Problem-Solving: Present a complex data engineering challenge you've faced and explain your approach to solving it. Describe the tools and technologies you used, and the outcome of your solution.

Company & Culture Questions:

Data-Driven Decision-Making: Explain how you've supported data-driven decision-making in your previous roles. Describe your experience working with business stakeholders to understand data requirements and provide technical solutions.
Agile Methodologies: Discuss your experience with Agile methodologies, such as Scrum and Kanban. Explain how you've applied these methodologies to deliver projects efficiently and iteratively.
Cross-Functional Collaboration: Describe your experience working with cross-functional teams, including data engineers, software engineers, data scientists, and business stakeholders. Explain how you've collaborated with these teams to deliver data-driven solutions.

Portfolio Presentation Strategy:

Data Pipeline Projects: Highlight your ability to design, implement, and maintain efficient data pipelines using relevant tools and technologies
Database Optimization: Demonstrate your expertise in optimizing database performance through indexing, partitioning, and other techniques
Data Modeling & Schema Design: Present examples of data modeling, schema design, and scalable architecture for complex datasets
Collaboration & Leadership: Emphasize your ability to collaborate with cross-functional teams and lead technical initiatives through influence

📝 Enhancement Note: Prepare for the senior database engineer interview at bp by brushing up on your technical skills, problem-solving abilities, and cultural fit. Tailor your portfolio and interview strategy to highlight your experience with relevant technologies, collaboration skills, and technical leadership.

📌 Application Steps

To apply for this senior database engineer position at bp:

Update Your Resume: Highlight your experience with relevant technologies, collaboration skills, and technical leadership. Include specific examples of your work with data pipelines, database management, and software engineering.
Prepare Your Portfolio: Tailor your portfolio to showcase your experience with relevant technologies, collaboration skills, and technical leadership. Include live demos and case studies to demonstrate your problem-solving skills and ability to deliver real-world impact.
Research the Company: Learn about bp's industry, company culture, and data-driven decision-making approach. Understand the company's focus on collaboration, innovation, quality, and agility in its data management and analytics practices.
Practice Technical Interview Questions: Brush up on your technical skills, problem-solving abilities, and cultural fit. Prepare for technical interview questions related to database management, data pipeline and ETL, software engineering, and problem-solving. Tailor your responses to highlight your experience with relevant technologies, collaboration skills, and technical leadership.
Prepare for Company & Culture Questions: Research bp's industry, company culture, and data-driven decision-making approach. Prepare for company and culture questions related to data-driven decision-making, Agile methodologies, and cross-functional collaboration. Tailor your responses to demonstrate your fit with the company's values and culture.

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

Senior Database engineer