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PLUK Data Engineer

Pay
Pay not listed
Work setting
Not stated
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
  • Create and maintain optimal data pipeline architecture

  • Assemble large, complex data sets that meet business requirements

  • Automate manual processes and redesign infrastructure for scale

  • Build extraction, transformation and loading infrastructure across varied data sources

  • Build analytics tools that turn pipeline data into business insights

From the employer’s posting
Create and maintain optimal data pipeline architecture
Assemble large, complex data sets that meet functional / non-functional business requirements
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
Build analytics tools that utilize the data pipeline to provide actionable insights

What you’ll bring

All qualifications

Core experience

  • Bachelor's degree in Engineering, IT, Computer Science or equivalent
  • Experience with big data tools such as Hadoop, Spark, Kafka
  • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra
  • Experience with pipeline tools such as Qlik Replicate, Fivetran or Azure Data Factory
  • Experience with Azure cloud services
Qualification wording
Bachelor’s degree in Engineering, IT, Computer Science, or other equivalent courses
Experience with big data tools: Hadoop, Spark, Kafka, etc.
Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
Experience with data pipeline and workflow management tools: Qlik Replicate, FiveTran, Azure Data Factory etc
Experience with Azure cloud services
Education & alternatives
Job Qualifications - Bachelor’s degree in Engineering, IT, Computer Science, or other equivalent courses - Experience with big data tools: Hadoop, Spark, Kafka, etc.
Apply at Prudential

Posting record

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Status in our records
Live
First seen by us
Oct 12, 202623 days ago
Recorded sightings
69
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 23

Similar jobs usually come down between day 5 and day 54.

From 10,736 similar postings that came down. Coming down is not always a hire.

Prudential is hiring

23 open jobs

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

  • Hiring at a steady pace
  • Takes jobs down at a usual pace
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.

  • Java
  • Python
  • Scala
  • SQL
  • AWS
  • Azure
  • Fivetran
  • Hadoop
  • Kafka
  • NoSQL
  • Spark
  • C++
  • PostgreSQL
Where the posting names them
- Experience with stream-processing systems: Qlik Replicate, FiveTran - Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc. Prudential is an equal opportunity employer. We provide equality of opportunity of benefits for all who apply and who perform work for our organisation irrespective of sex, race, age, ethnic origin, educational, social and cultural background, marital status, pregnancy and maternity, religion or belief, disability or part-time / fixed-term work, or any other status protected by applicable law. We encourage the same standards from our recruitment and third-party suppliers taking into account the context of grade, job and location. We also allow for reasonable adjustments to support people with individual physical or mental health requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc - Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, AWS ‘big data’ technologies, etc - Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
- Experience with big data tools: Hadoop, Spark, Kafka, etc. - Experience with relational SQL and NoSQL databases, including Postgres and Cassandra. - Experience with data pipeline and workflow management tools: Qlik Replicate, FiveTran, Azure Data Factory etc
- Experience with relational SQL and NoSQL databases, including Postgres and Cassandra. - Experience with data pipeline and workflow management tools: Qlik Replicate, FiveTran, Azure Data Factory etc - Experience with Azure cloud services
- Experience with data pipeline and workflow management tools: Qlik Replicate, FiveTran, Azure Data Factory etc - Experience with Azure cloud services - Experience with stream-processing systems: Qlik Replicate, FiveTran
- Experience with Azure cloud services - Experience with stream-processing systems: Qlik Replicate, FiveTran - Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
- Bachelor’s degree in Engineering, IT, Computer Science, or other equivalent courses - Experience with big data tools: Hadoop, Spark, Kafka, etc. - Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.

Your next step

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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 ↗

Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people’s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed.

Responsible for managing, designing, building, and maintaining the data infrastructure that supports the organization's data analytics and machine learning initiatives. This includes developing and managing data pipelines, building and optimizing data warehouses and data lakes, and ensuring the quality and security of data.


Job Accountabilities

  • Create and maintain optimal data pipeline architecture
  • Assemble large, complex data sets that meet functional / non-functional business requirements
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, AWS ‘big data’ technologies, etc
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
  • Work with various stakeholders e.g., Business partners, Data and Design teams, etc. to assist with data-related technical issues and support their data infrastructure needs
  • Ensure that all company policies, procedures, programs and instruction are carried out
  • Be familiar and understand Pru Life UK Compliance Standards. Must be fully aware of his/her responsibilities and competent to carry them out to the required standards. Must report all compliance matters openly and honestly to their Compliance Officer in accordance with the reporting requirements operated by the Compliance Officer. Must operate a process within his/her department to ensure that all relevant compliance matters are identified and reported
  • undefined
  • Perform other functions as may be assigned

Job Qualifications

  • Bachelor’s degree in Engineering, IT, Computer Science, or other equivalent courses 
  • Experience with big data tools: Hadoop, Spark, Kafka, etc. 
  • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra. 
  • Experience with data pipeline and workflow management tools: Qlik Replicate, FiveTran, Azure Data Factory etc
  • Experience with Azure cloud services
  • Experience with stream-processing systems: Qlik Replicate, FiveTran
  • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

 

Prudential is an equal opportunity employer. We provide equality of opportunity of benefits for all who apply and who perform work for our organisation irrespective of sex, race, age, ethnic origin, educational, social and cultural background, marital status, pregnancy and maternity, religion or belief, disability or part-time / fixed-term work, or any other status protected by applicable law. We encourage the same standards from our recruitment and third-party suppliers taking into account the context of grade, job and location. We also allow for reasonable adjustments to support people with individual physical or mental health requirements.

Source details

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Metro Manila

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