Responsibilities:

Data Engineering & Pipeline Development:

Design, build, and maintain scalable data pipelines and ETL processes to support analytics and automation initiatives. Ensure data quality, integrity, and performance across systems.

Requirements Gathering and Technical Design:

Partner with stakeholders to translate business needs into technical specifications. Design data models, process flows, and system integrations aligned with strategic objectives.

Automation Development:

Develop and deploy automation tools and scripts (e.g., Python, SQL, Power Apps) to streamline audit and business processes, improve efficiency, and reduce manual effort.

Data Visualization:

Support the development of reporting front-end interfaces using tools such as Streamlit, hosted on AWS infrastructure. Collaborate with analytics and audit teams to design user-friendly applications that deliver insights and enable interaction with automated utilities and data pipelines.

Infrastructure & Systems Integration:

Collaborate with IT and analytics teams to implement integrated solutions using cloud platforms (e.g., AWS), databases (e.g., SQL Server), and identity systems (e.g., Active Directory).

Process Optimization:

Identify and implement opportunities for process improvement through automation and data-driven insights within internal audit workflows.

Innovation & Technology Adoption:

Stay current with emerging technologies (e.g., Gen

AI, RPA, AI/ML

) and recommend innovative solutions that align with organizational strategies.

What It Takes:

Proficiency in Python, SQL, and data engineering tools and frameworks. Experience with data visualization platforms (e.g., Tableau, Power BI), cloud infrastructure (e.g., AWS), and database systems (e.g., SQL Server). Familiarity with

RPA, AI/ML

concepts, and modern data architecture. Strong communication skills to bridge technical and non-technical stakeholders. Ability to thrive in a fast-paced, ambiguous environment and manage multiple priorities. Strong planning and organizational skills with a focus on execution and delivery.

Qualifications:

Minimum of 5 years related technical experience; some working knowledge of audit, risk, and controls. Undergraduate degree in a related field or the equivalent combination of training and experience (e.g., MIS, Information Technology, Data Sciences, Data / Business Analytics).

Special factor:

This is a hybrid role - candidates must be commutable to Vanguard's Malvern, PA office. Special Factors Sponsorship Vanguard is not offering visa sponsorship for this position. About Vanguard At Vanguard, we don't just have a mission—we're on a mission. To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best. How We Work Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. 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Sr. Data Analytics Engineer - Internal Audit