Live opening · Posted 8 hours ago
At a glance
The key details from the original listing.
Your early-applicant advantage
Live timing from JobBeeper.
About the role
Description supplied by the original job listing.
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.
More openings worth a look
Recently tracked roles with full details and direct application links.