AVP – Data Engineer

Deutsche Bank AG; Bengaluru; On-site; INR 900,000 - 1,500,000; Full time

Benefits offered by this job

Best in class leave policy

Gender neutral parental leaves

Childcare assistance

Certification sponsorship

Employee assistance program

Health insurance for you and dependets

Life Insurance

Health screening

Job summary

Deutsche Bank AG is seeking an experienced AVP – Data Engineer in Bangalore to design, develop, and support enterprise-scale data solutions across asset management workloads. You will work with market, trade, position, and reference data, leveraging Snowflake, Python, and PL/SQL to deliver reliable, scalable data platforms.

The role requires strong technical skills in data engineering, cloud data platforms like Snowflake, and production support, with collaboration across portfolio management,

Qualifications

• Strong PL/SQL development and database performance tuning experience.
• Advanced Python programming for data ingestion, validation and reconciliation.
• Shell and/or Perl scripting for automation and ops.
• Hands-on with Snowflake and data sharing features.
• Experience with ETL/ELT and data integration frameworks.
• Familiarity with Control-M or AutoSys scheduling.
• Experience with Kafka-based event-driven data architectures.
• Solid SQL and relational DB expertise.
• Experience supporting mission-critical production environments.

Responsibilities

• Design, develop, and maintain scalable data pipelines for market, trade, position, and reference data.
• Build Python-based data integration and transformation frameworks.
• Develop PL/SQL programs, procedures, and performance tuning solutions.
• Create automation scripts to support platform maintenance and controls.
• Design ETL/ELT processes for large-scale financial data platforms.
• Facilitate data ingestion via data shares and Snowflake environments.
• Integrate data from external vendors and internal applications.
• Design and support Kafka-based event-driven integrations.
• Implement data quality, reconciliation, and monitoring controls.
• Support enterprise scheduling with Control-M/AutoSys.
• Drive scalability, resilience, observability, and operational efficiency.
• Provide L3 production support and lead RCA/regression activities.
• Assist in audit, compliance, and regulatory requirements.

Skills

PL/SQL

Python

Shell scripting

Snowflake

ETL

Control-M

Kafka

SQL

Production support

Tools

Snowflake Data Cloud

Control-M

AutoSys

Kafka

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

• 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.

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 Investment Reference Data
• Good to Have Microservices development experience.
• Experience with cloud platforms (Azure preferred).
• Experience with monitoring and observability tools.
• Understanding of distributed application architectures.
• Knowledge of modern data platform technologies and streaming architectures.

• Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.
• Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.

How we’ll support you

• Training and development to help you excel in your career.
• Coaching and support from experts in your team.
• A culture of continuous learning to aid progression.
• A range of flexible benefits that you can tailor to suit your needs.

About us and our teams

Please visit our company website for further information: https://www.db.com/company/company.html We at DWS are committed to creating a diverse and inclusive workplace, one that embraces dialogue and diverse views, and treats everyone fairly to drive a high-performance culture. The value we create for our clients and investors is based on our ability to bring together various perspectives from all over the world and from different backgrounds. It is our experience that teams perform better and deliver improved outcomes when they are able to incorporate a wide range of perspectives. We call this #ConnectingTheDots. For over 150 years, our dedication to being the Global Hausbank for our clients has been driven by our people – in around 60 countries and across more than 150 nationalities. Their deep understanding, insights, expertise, and passion help our clients navigate an increasingly complex world – be it in our Corporate Bank, our Private Bank, our Investment Bank or our Asset Management (DWS) division. Together we can make a great impact for our clients at home and abroad, securing their lasting success and financial security. More information at: Deutsche Bank Careers (db.com)