PLUK Data Engineer
Prudential plc is hiring a PLUK Data Engineer. Level rates it ; you can apply on Prudential plc.
Level's read on this job
- Little AI ●○○○ is how Level rates this data engineer role: aI is not part of the work.
- Tools and skills the posting cites include Replicate.
- Level lists 437 other open roles at Prudential plc.
AI in this role
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.
How we rate this
PLUK Data Engineer at Prudential plc rates 26 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
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Pay
- Typical data engineer job
- $150k
This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs
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