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Senior Data Engineer

Malaysia - Kuala Lumpur

Live, first seen by us 13 days ago
Pay
Pay not listed
Work setting
Hybrid — work setting source
This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Cloud Platforms, Cloud Platforms, Collaboration, Communication, Configuration management and release, Continuous deployment and release, Creating a high performing team, Database Design, Digital Project Management, Documentation and knowledge sharing, Emerging technology monitoring, Facilitation, Information Security, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Problem Solving, Relational Data Modeling, Risk Management, Scripting, Secure development, Service operations and resiliency, Software Design and Development, Solution Architecture, Source control and code management {+ 5 more}.
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Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Drive engineering best practices through code reviews, technical standards, CI/CD practices, and automation

  • Lead source control, release management, and deployment processes for data engineering solutions.

  • Mentor engineers and contribute to building a high-performing engineering culture through knowledge sharing and technical leadership.

From the employer’s posting
Key Responsibilities Drive engineering best practices through code reviews, technical standards, CI/CD practices, and automation Lead source control, release management, and deployment processes for data engineering solutions.
Drive engineering best practices through code reviews, technical standards, CI/CD practices, and automation Lead source control, release management, and deployment processes for data engineering solutions. Facilitate technical discussions, architecture reviews, and technology decision-making across teams.
Facilitate technical discussions, architecture reviews, and technology decision-making across teams. Mentor engineers and contribute to building a high-performing engineering culture through knowledge sharing and technical leadership. Ensure compliance with information security, governance, and operational standard methodologies.

About BP

At bp, we provide the following environment and benefits to you:

In the employer’s words · Read in context

Apply at BP

Posting record

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Status in our records
Live
First seen by us
Oct 22, 202613 days ago
Recorded sightings
29
Last seen by us
Nov 5, 2026
Reposted
once since Oct 15, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.

How this job compares

Time since we first saw it

Day 13

Similar jobs usually come down between day 6 and day 54.

At BP, jobs usually come down by about day 13.

From 11,035 similar postings that came down, and 125 of BP’s. Coming down is not always a hire.

BP is hiring

7 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Engineer hiring is picking up
  • Takes jobs down quickly
  • 14% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • AWS
  • Azure
  • Databricks
  • NoSQL
  • Redshift
  • S3
  • PySpark
Where the posting names them
- 8+ years of experience in Data Engineering, Software Engineering, or related disciplines. - 5+ years of hands-on Python development experience. - 3+ years of experience with PySpark and large-scale distributed data processing.
- Experience working in DataOps, DevOps, SRE, or production support environments. Technical Skills - Strong expertise in SQL, database design, and data modelling. - Experience designing end-to-end data architectures including ingestion, transformation, storage, governance, and consumption layers.
Our diverse teams cater to a broad spectrum of interests, encompassing everything from infrastructure and backend services to customer-centric web and native applications. With a keen emphasis on agility, we foster using native AWS and Azure services as our infrastructure foundation, including serverless architectures. Our ethos is not just about using the best tech for the task but also encouraging an environment where our software and platform engineers thrive, learn, and continuously evolve. Key Responsibilities
- Experience designing end-to-end data architectures including ingestion, transformation, storage, governance, and consumption layers. - Strong AWS experience, including services such as S3, Glue, Lambda, Athena, Redshift, and EventBridge. - Hands-on experience with Databricks and modern Lakehouse architectures.
- Strong AWS experience, including services such as S3, Glue, Lambda, Athena, Redshift, and EventBridge. - Hands-on experience with Databricks and modern Lakehouse architectures. - Experience with Git, CI/CD, Infrastructure as Code, and deployment automation.
This position is a hybrid of office/remote working Skills: Cloud Platforms, Cloud Platforms, Collaboration, Communication, Configuration management and release, Continuous deployment and release, Creating a high performing team, Database Design, Digital Project Management, Documentation and knowledge sharing, Emerging technology monitoring, Facilitation, Information Security, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Problem Solving, Relational Data Modeling, Risk Management, Scripting, Secure development, Service operations and resiliency, Software Design and Development, Solution Architecture, Source control and code management {+ 5 more}. 
 Legal Disclaimer:
- 5+ years of hands-on Python development experience. - 3+ years of experience with PySpark and large-scale distributed data processing. - Shown experience delivering and operating enterprise-scale data platforms and pipelines.

Your next step

Complete your application on bpinternational.wd3.myworkdayjobs.com. The employer’s form will show what is required.

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Has BP posted this job before?

Yes. We’ve followed 6 other Senior Data Engineer jobs there since May 2026. 4 came down, usually after about 7 days. 2 are still up.

  1. São PauloStill up after 166 days, first seen May 24
  2. PuneCame down after 8 days, first seen Oct 7
  3. PuneCame down after 8 days, first seen Oct 7
  4. SunburyStill up after 29 days, first seen Oct 7
  5. Kuala LumpurCame down after 6 days, first seen Oct 14
  6. Kuala LumpurCame down after 6 days, first seen Oct 15
  7. This jobUp 14 days so far, first seen Oct 22

Large employers often post one title for several teams, so these can be separate openings.

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 839, the most 1,314, and the latest week had 1,086.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Entity:

Technology


Job Family Group:

IT&S Group


Job Description:

Let me tell you about the role

At the heart of bp's technological endeavors is the Technology organization. We are the driving force behind the technology that fuels bp's operations, from upstream energy production to downstream delivery to our esteemed customers.

 

Our diverse teams cater to a broad spectrum of interests, encompassing everything from infrastructure and backend services to customer-centric web and native applications.

 

With a keen emphasis on agility, we foster using native AWS and Azure services as our infrastructure foundation, including serverless architectures. Our ethos is not just about using the best tech for the task but also encouraging an environment where our software and platform engineers thrive, learn, and continuously evolve.

 

Key Responsibilities

  • Drive engineering best practices through code reviews, technical standards, CI/CD practices, and automation
  • Lead source control, release management, and deployment processes for data engineering solutions.
  • Facilitate technical discussions, architecture reviews, and technology decision-making across teams.
  • Mentor engineers and contribute to building a high-performing engineering culture through knowledge sharing and technical leadership.
  • Ensure compliance with information security, governance, and operational standard methodologies.
  • Support the reliability, resilience, and continuous improvement of data platforms and services.
  • Design, build, and operate scalable, secure, reliable, and efficient data products, pipelines, and platforms.
  • Own the end-to-end lifecycle of data solutions, ensuring operational accountability, supportability, and continuous improvement.
  • Collaborate with business stakeholders, engineers, architects, analysts, and data scientists to deliver high-quality data solutions.
  • Design and maintain data models, ingestion frameworks, and transformation pipelines that ensure data quality, integrity, and performance.
  • Implement DataOps best practices including CI/CD, Infrastructure as Code, automated testing, monitoring, and deployment automation.
  • Build observability, alerting, and automated data quality controls to ensure platform reliability and rapid issue detection.
  • Maintain metadata, lineage, documentation, runbooks, and support processes to improve governance and operational readiness.
  • Lead incident resolution, root cause analysis, and reliability improvements to reduce recurring issues and improve service outcomes.
  • Ensure compliance with security, privacy, governance, and enterprise architecture standards.
  • Provide technical leadership through architecture guidance, mentoring, code reviews, and engineering best practices, including good team work


What you will need to be successful (experience and qualifications)

  • 8+ years of experience in Data Engineering, Software Engineering, or related disciplines.
  • 5+ years of hands-on Python development experience.
  • 3+ years of experience with PySpark and large-scale distributed data processing.
  • Shown experience delivering and operating enterprise-scale data platforms and pipelines.
  • Experience working in DataOps, DevOps, SRE, or production support environments.
    Technical Skills
  • Strong expertise in SQL, database design, and data modelling.
  • Experience designing end-to-end data architectures including ingestion, transformation, storage, governance, and consumption layers.
  • Strong AWS experience, including services such as S3, Glue, Lambda, Athena, Redshift, and EventBridge.
  • Hands-on experience with Databricks and modern Lakehouse architectures.
  • Experience with Git, CI/CD, Infrastructure as Code, and deployment automation.


Operational Excellence

  • Strong understanding of observability, monitoring, alerting, and platform reliability.
  • Experience implementing data quality controls, lineage, metadata, and governance practices.
  • Experience with incident management, root cause analysis, and continuous service improvement.
  • Knowledge of security, privacy, compliance, and operational risk management.


Leadership

  • Excellent stakeholder management and communication skills.
  • Shown ability to influence technical decisions, mentor engineers, and drive engineering excellence.
  • Demonstrated ownership mindset with a focus on reliability, quality, and business outcomes.


About bp

At bp, we provide the following environment and benefits to you:

  • A company culture where we respect our diverse and unified teams, where we are proud of our achievements and where fun and the attitude of giving back to our environment are highly valued.
  • Possibility to join our social communities and networks
  • Learning opportunities and other development opportunities to craft your career path
  • Life and health insurance, medical care package


And many other benefits. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform crucial job functions, and receive other benefits and privileges of employment.


Travel Requirement

No travel is expected with this role


Relocation Assistance:

This role is not eligible for relocation


Remote Type:

This position is a hybrid of office/remote working


Skills:

Cloud Platforms, Cloud Platforms, Collaboration, Communication, Configuration management and release, Continuous deployment and release, Creating a high performing team, Database Design, Digital Project Management, Documentation and knowledge sharing, Emerging technology monitoring, Facilitation, Information Security, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Problem Solving, Relational Data Modeling, Risk Management, Scripting, Secure development, Service operations and resiliency, Software Design and Development, Solution Architecture, Source control and code management {+ 5 more}

.





Legal Disclaimer:

We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us.

If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

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Pay

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Location & working pattern

Malaysia - Kuala Lumpur

No travel is expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Cloud Platforms, Cloud Platforms, Collaboration, Communication, Configuration management and release, Continuous deployment and release, Creating a high performing team, Database Design, Digital Project Management, Documentation and knowledge sharing, Emerging technology monitoring, Facilitation, Information Security, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Problem Solving, Relational Data Modeling, Risk Management, Scripting, Secure development, Service operations and resiliency, Software Design and Development, Solution Architecture, Source control and code management {+ 5 more}.
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