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.
Metro Manila
Live, first seen by us 23 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s 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
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
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
Job Qualifications - Bachelor’s degree in Engineering, IT, Computer Science, or other equivalent courses - Experience with big data tools: Hadoop, Spark, Kafka, etc.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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.
23 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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.
- 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.
Complete your application on prudential.wd3.myworkdayjobs.com. The employer’s form will show what is required.
Already applied? Track this application
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.
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.
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
Job Qualifications
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.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Metro Manila
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.