Overview
PGIM, the global asset management business of Prudential, is a diverse and inclusive organization focused on improving financial services and solving challenges in a changing world. We are committed to a culture of respect and collaboration and offer opportunities to grow your skills and advance your profession within one of the world’s leading global asset managers. If you’re ready to think differently and challenge the status quo, consider joining a dedicated team investing in your future.
At PGIM, You Can!
What You Will Do
As part of the PPC Information Technology & Services team, we support PGIM Private Capital with vendor and internally designed applications, processes, and reporting. We are looking for a Lead Data Engineer to collaborate, take ownership, and drive innovation. You will develop, maintain, and optimize data pipelines, architectures, and data sets, working closely with business analysts and data engineers to ensure robust, scalable solutions aligned with business objectives.
This opportunity enables you to make an impact within our organization.
* Lead and mentor data engineers and data modelers on the team.
* Collaborate strategically with business partners to gather requirements and provide data-driven insights and solutions.
* Implement and maintain data engineering best practices for stability and scalability.
* Develop and implement a production support plan that conveys urgency and trust.
* Design, implement, and optimize highly scalable data ingestion and processing pipelines with Azure Data Factory, Dataflow Gen2, and other Fabric services.
* Architect and maintain data models and lakehouses using Data Vault 2.0 and Medallion architectures.
* Develop semantic models and reports using Power BI.
* Act as responsible data stewards to ensure data integrity, compliance, and trust.
What You Will Bring
* Bachelor’s degree or higher in Computer Science, Engineering, or a related field.
* Previous experience leading data engineers.
* Strong proficiency with Azure cloud services such as Azure Data Factory, Azure Data Lake, Azure SQL Database, and Azure Databricks.
* Experience with SQL and common data science toolkits.
* Proficiency in programming languages such as Python or Scala.
* Strong problem-solving skills and ability to work in a dynamic and agile environment.
* Excellent communication and teamwork skills.
* Knowledge of development methodologies (Agile, Scrum, etc.) is a plus.
What Will Set You Apart
* Fabric knowledge and exposure
* Apache Spark
* Data Lakehouse
* Investment Management Industry or Fintech experience
Our Business
At PGIM Private Capital (PPC), expertise, analysis, and experience drive everything we do. We strategically target select global markets to offer unique deal flow to investors and prospective issuers. Our team is comprised of bright, focused professionals who collaborate at all levels to manage originations and a private debt portfolio across investment grade, high yield and mezzanine investments. We invest in the potential of our employees by offering them large-scope, small-team emphasis on collaboration, and a healthy balance between professional and personal life. We challenge you as an individual so you can make real contributions while you grow your capabilities.
Our Culture
PGIM is proud of its distinctive and inclusive culture, with a reputation for the pedigree and professionalism of its employees. The organization is forward-thinking and evolving in its approach, offering opportunities to build your career path by owning your development, career, and future. As part of PGIM Ireland, we are committed to equal employment opportunity regardless of gender, civil status, family status, sexual orientation, religion, age, disability, race, or membership of the traveler community. All appointments are made on merit. Background checks will be carried out for all positions, and references will be requested where applicable. PGIM Ireland is IBEC Keep Well accredited, recognizing our commitment to employee wellbeing.
EEO Statement
PGIM Ireland is an equal opportunity employer in line with applicable laws and company policy. We hire based on merit and are committed to creating an inclusive environment for all employees.
Note: This description focuses on the role and related information; non-essential postings and location-based job listings have been omitted for clarity.
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