Senior Engineer, VP

Deutsche Bank AG; Maharashtra; On-site; INR 1,500,000 - 2,100,000; Full time

Benefits offered by this job

Best in class leave policy

Parental leaves (gender neutral)

Childcare reimbursement

Certifications & education sponsorship

Employee Assistance Program

Hospitalization Insurance

Health screening 35+

Life Insurance

Job summary

Deutsche Bank AG in Pune, India, seeks a Senior Engineer to modernise SAS-based data solutions into scalable Python platforms. You will lead hands-on engineering, establish reusable frameworks, and drive robust delivery standards across large data workloads.

The role combines architectural ownership with practical implementation, focusing on Airflow, GKE, and high-performance data processing using Python Polars and Apache Iceberg. Collaboration with diverse teams is essential.

Qualifications

• Extensive Python engineering experience in enterprise data workloads.
• Hands-on Airflow and Kubernetes deployment and operations.
• Experience modernising SAS workloads to Python.
• Proven leadership and collaboration across teams.

Responsibilities

• Lead the design, development and maintenance of Python frameworks and data pipelines for SAS-to-Python migration.
• Define engineering standards including clean code, testing, versioning and doc generation.
• Design, deploy and operate scalable Airflow workflows with DAGs and operators.
• Deploy containerised workloads on GKE with HA and resource controls.

Skills

Python programming

Airflow orchestration

Kubernetes

CI/CD

GitOps

Datapipeline design

Leadership

Problem solving

Tools

Apache Airflow

Google Kubernetes Engine

Docker

Iceberg

Polars

GitHub

Job description

Job Description:Job Title: Senior EngineerLocation: Pune, IndiaCorporate Title: VPRole DescriptionThe 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 capabilitiesPython 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 expertiseHands-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 youAs part of our flexible scheme, here are just some of the benefits that you’ll enjoyBest in class leave policyGender neutral parental leaves100% reimbursement under childcare assistance benefit (gender neutral)Sponsorship for Industry relevant certifications and educationEmployee Assistance Program for you and your family membersComprehensive Hospitalization Insurance for you and your dependentsAccident and Term life InsuranceComplementary Health screening for 35 yrs. and aboveYour key responsibilitiesLead 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 experienceExtensive 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 engineering, data, infrastructure, risk and control functions.Strong analytical and problem-solving skills, with experience improving reliability, security, performance, observability and operational resilience.Proven ability to use AI tools to enhance productivity, optimise workflows and solve business problems, while applying critical judgement 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 youTraining and development to help you excel in your careerCoaching and support from experts in your teamA culture of continuous learning to aid progressionA range of flexible benefits that you can tailor to suit your needsAbout us and our teamsPlease visit our company website for further information:https://www.db.com/company/company.htmlWe strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.We welcome applications from all people and promote a positive, fair and inclusive work environment.