# AVP – Data Engineer at Deutsche Bank

Deutsche Bank is hiring an AVP – Data Engineer. Level rates it Little AI ●○○○; you can [apply on Deutsche Bank](https://jobsbylevel.com/go/09d6284c-e966-41de-b75a-6b103db41a3f?utm_medium=ai-agent).

AI Level 1, AI centrality 0 out of 100. Bangalore Velankani ISC.

## Details

- Company: [Deutsche Bank](https://jobsbylevel.com/companies/deutsche-bank)
- AI level: AI Level 1 (score 0 out of 100)
- Location: Bangalore Velankani ISC
- Posted: October 22, 2026
- Apply: https://jobsbylevel.com/go/09d6284c-e966-41de-b75a-6b103db41a3f?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=avp-data-engineer-at-deutsche-bank-633b83

## Prepare for this job

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## Description

Job Description: Job Title: AVP – Data Engineer Location: Bangalore, India Role Description We are seeking an experienced Assistant Vice President (AVP) to join our Asset management Data Engineering team. The successful candidate will be responsible for designing, developing, and supporting enterprise-scale data solutions that manage market data, security master data, trade data, position data, and investment analytics workloads across the Asset Management landscape. The role requires strong technical expertise across data engineering, cloud data platforms like Snowflake and production support, combined with a solid understanding of financial instruments and investment management processes. The individual will collaborate with portfolio management, investment operations, risk, compliance, and technology teams to deliver scalable, reliable, and high-performance data solutions. What we’ll offer you As part of our flexible scheme, here are just some of the benefits that you’ll enjoy, Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Design, develop, and maintain scalable data pipelines for market, trade, position, and reference data processing. Develop complex PL/SQL programs, database procedures, and performance tuning solutions. Build and maintain Python-based data integration and transformation frameworks. Develop Shell and/or Perl scripts to support automation, operational controls, and platform maintenance. Design ETL/ELT processes supporting large-scale financial data platforms. Facilitate ingestion via data shares and transformation of data into Snowflake-based data environments. Integrate data from external market data vendors, custodians, brokers, and internal applications. Design and support Kafka-based event-driven integration solutions. Implement data quality, reconciliation, and monitoring controls across critical data flows. Support enterprise scheduling using Control-M and/or AutoSys. Drive improvements in scalability, resilience, observability, and operational efficiency. Provide L3 support for critical production applications and data services. Lead root cause analysis and problem management activities. Support audit, compliance, and regulatory requirements relating to financial data. Ensure adherence to SDLC, release management, change management, and operational controls. Participate in disaster recovery, resilience, and operational readiness activities. Partner with business stakeholders across Investment Management, Operations, Risk, and Compliance. Support strategic data platform modernization initiatives and cloud transformation programs. Contribute to technical roadmaps and architecture decisions. Your skills and experience Mandatory Skills Technical Skills Strong PL/SQL development and database performance tuning experience. Advanced Python programming skills. (Data ingestion, validation and recon, automation and enrichment) Strong Shell Scripting and/or Perl Scripting experience. Experience with Snowflake Data Cloud and data shares. Strong knowledge of ETL, data integration, and data processing frameworks. Experience with enterprise scheduling tools such as Control-M or AutoSys. Experience working with Kafka and event-driven architectures. Strong SQL and relational database expertise. Experience supporting mission-critical production environments. Asset Management Domain Knowledge Good understanding of the Asset Management industry. Experience with: Equities Fixed Income Derivatives Mutual Funds / ETFs Alternative Investments (desirable) Hands-on experience with: Trade Data Position Data Security Master Data Market Data Feeds

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