Senior Manager – Data Engineering | Asset Management | EY Careers | Bangalore
Job Description
Summary
EY (Ernst & Young) is seeking an experienced Senior Manager – Data Engineering (Asset Management, Bangalore) to lead large-scale technology programs, build scalable architectures, and drive innovation in financial and asset management sectors. This role is perfect for professionals with 12+ years of experience in data engineering, AI, cloud technologies, and regulatory reporting who are ready to combine technical expertise with leadership and strategy. At EY, you’ll collaborate with finance executives, technology partners, and global teams to deliver intelligent, future-ready solutions that transform businesses.
Job Details at a Glance
| Job Title | Senior Manager – Data Engineering (Asset Management) |
|---|---|
| Company | EY (Ernst & Young) |
| Location | Bangalore, India |
| Other Locations | Primary Location Only |
| Experience Required | 12+ years in technology/data engineering |
| Tools & Tech | Python, Databricks, Spark, PySpark, Oracle, SQL Server, MongoDB |
| Cloud Platforms | Microsoft Azure (Functions, Blob Storage, DevOps, Pipelines) |
| AI Techniques | Deep Learning, Generative AI, Azure Doc Intelligence, Agentic AI (Langchain, Langraphs) |
| Domain Focus | Asset Management, Banking, Regulatory & Financial Reporting |
| Requisition ID | 1628797 |
| Salary | Competitive |
| Date Posted | September 19, 2025 |
Key Responsibilities
As a Senior Manager – Data Engineering at EY Bangalore, you will:
- Lead technology initiatives in asset management and banking sectors, focusing on scalable solutions.
- Collaborate with finance executives and technology teams to align project goals and deliverables.
- Utilize Python, Databricks, Spark, and PySpark for data workflow optimization.
- Manage and optimize databases: Oracle, SQL Server, MongoDB.
- Apply AI and machine learning techniques, including Azure Doc Intelligence, Deep Learning, and Generative AI.
- Build intelligent applications using Agentic AI frameworks like Langchain and Langraphs.
- Oversee regulatory and financial reporting processes (N-PORT, CPO PQR, BHC, AIFMD, TIC, BE Reports).
- Identify automation opportunities and develop innovative technology solutions.
- Lead, mentor, and inspire cross-functional engineering teams.
- Drive best practices while navigating ambiguity with a positive, problem-solving mindset.
Skills & Attributes
- Strong leadership and program management experience.
- Expertise in data engineering, cloud computing, and AI applications.
- Familiarity with regulatory reporting and compliance in asset management.
- Excellent communication and stakeholder management skills.
- Ability to empathize with user challenges and design effective solutions.
- Strong collaboration and team-building abilities.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, Finance, or related field.
- 12+ years of experience in data engineering, technology program management, and product development.
- Proven track record in asset management and banking technology transformation projects.
- Hands-on experience with Azure SaaS, PaaS, and IaaS models.
Why Join EY?
- Work on cutting-edge data engineering and AI initiatives in asset management.
- Be part of a global organization with 300,000+ professionals worldwide.
- Gain access to continuous learning, upskilling, and leadership development programs.
- Thrive in an inclusive, collaborative, and innovation-driven environment.
Apply Now
Take the next step in your data engineering career with EY.
👉 Apply on the Official EY Careers Page