# Senior Engineer, VP at Deutsche Bank

Deutsche Bank is hiring a Senior Engineer, VP in Pune, India. Level rates it Little AI ●○○○; you can [apply on Deutsche Bank](https://jobsbylevel.com/go/a4b9a935-e79b-42b2-a1aa-acb76a4bd276?utm_medium=ai-agent).

AI Level 1, AI centrality 0 out of 100. Pune - Business Bay.

## Details

- Company: [Deutsche Bank](https://jobsbylevel.com/companies/deutsche-bank)
- AI level: AI Level 1 (score 0 out of 100)
- Location: Pune - Business Bay
- Posted: October 27, 2026
- Apply: https://jobsbylevel.com/go/a4b9a935-e79b-42b2-a1aa-acb76a4bd276?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-engineer-vp-at-deutsche-bank-49b0b8

## Prepare for this job

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## Description

Job Description: Job Title: Senior Engineer Location: Pune, India Corporate Title: VP Role Description The Senior Engineer will provide technical leadership for the modernisation of legacy SAS-based data solutions into scalable, maintainable Python platforms. The role combines hands-on engineering with architectural ownership, establishing reusable frameworks and robust delivery standards across enterprise data workloads. Core capabilities Python engineering: Advanced Python development, object-oriented design and clean-code practices, with experience creating modular, reusable libraries and frameworks. Workflow orchestration: Deep expertise designing, deploying and maintaining scalable Apache Airflow DAGs, custom operators and scheduling patterns. Cloud-native platforms: Strong experience deploying and scaling containerised applications on Google Kubernetes Engine, including Kubernetes configuration and resource management. Framework architecture: Proven ability to design, version and maintain shared engineering frameworks, data pipelines and integration components. Operational excellence: Experience with observability, profiling, performance tuning, automated testing, CI/CD, GitOps and Docker. Desirable expertise Hands-on experience with Python Polars for high-performance, memory-efficient data processing. Knowledge of Apache Iceberg, including transaction management, schema evolution and file-layout optimisation. Experience troubleshooting complex orchestration failures and supporting high-throughput, highly available integrations across shared platforms such as GPFS. 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 Lead the design, development and maintenance of enterprise-grade Python frameworks, reusable libraries and data pipelines that support the migration from SAS to modern Python-based solutions. Define engineering standards and provide technical leadership for clean code, object-oriented design, automated testing, versioning and documentation. Design, deploy and operate scalable Apache Airflow workflows, including DAGs, custom operators, scheduling patterns, dependency management and failure recovery. Deploy and scale containerised workloads on Google Kubernetes Engine, maintaining Kubernetes configurations, resource controls and high-availability services. Drive adoption of high-performance data processing and lakehouse technologies, including Python Polars and Apache Iceberg, with effective schema evolution and file-layout optimisation. Your skills and experience Extensive technology-engineering experience, ideally gained within complex, highly regulated enterprise environments. Expert-level Python development skills, including object-oriented design, reusable frameworks, automated testing and clean-code practices. Strong hands-on experience with Apache Airflow, Google Kubernetes Engine, relational and distributed databases, GitHub, CI/CD, GitOps and Docker. Experience modernising legacy SAS workloads and designing scalable data-processing solutions; knowledge of Python Polars and Apache Iceberg is advantageous. Proven people-leadership experience, including managing, coaching and developing a sizeable engineering team and building an inclusive, high-performing culture. Demonstrated ability to set technical direction, make sound architectural decisions and balance strategic objectives with hands-on delivery. Strong stakeholder-management and communication skills, with the ability to influence senior partners and collaborate across

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