Senior Data Analytics Engineer

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.

Job Summary:

We are seeking a highly skilled Data Engineer to join our global organization. The ideal candidate will have a minimum of 5 years of experience in data engineering, with a strong background in Spark, Python, Azure Databricks, SQL, and Scala. The role involves working within a global team, leveraging cloud platforms like Azure or GCP, and contributing expertise to multiple projects.

Key Responsibilities:

• Develop and maintain scalable data pipelines using Spark, Python, and Scala within Azure Databricks or similar cloud-based environments.
• Collaborate with cross-functional teams across the globe to understand data requirements and implement efficient solutions.
• Utilize SQL and other querying languages to manipulate and extract data from various sources, ensuring accuracy and efficiency.
• Design, build, and optimize data models and architectures to support data processing and analytics needs.
• Ensure data quality, integrity, and security while adhering to best practices and compliance standards.
• Work closely with stakeholders to understand business needs and translate them into technical requirements for data solutions.
• Mentor and guide junior team members, fostering a collaborative and knowledge-sharing environment.
• Communicate effectively with global teams, providing updates, insights, and support as needed.

Minimum Experience, Behaviors and Education Requirements:

• Bachelor's or master's degree in computer science, Engineering, or a related field.
• 5+ years of hands-on experience as a Data Engineer, preferably in a global organization.
• Proficiency in Spark, Python, Azure Databricks, SQL, and Scala.
• Experience working with cloud platforms such as Azure or GCP, leveraging their data services.
• Strong understanding of data modeling, ETL processes, and data warehousing concepts.
• Ability to work effectively in a global, multicultural team environment, across different time zones.
• Proven track record of delivering on multiple projects with a focus on scalability, reliability, and performance.
• Excellent problem-solving skills and a proactive approach to tackling complex data challenges.
• Knowledge of life insurance industry preferred.

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.