Lead Engineer, Data Ingestion, VP

Deutsche Bank AG; Pune District; On-site; INR 4,200,000 - 6,200,000; Full time

Benefits offered by this job

Best in class leave policy

Gender neutral parental leaves

Sponsorship for Industry relevant cert

Employee Assistance Program

Hospitalization Insurance

Accident and Term life Insurance

Health screening for 35+ years

Job summary

Deutsche Bank AG in Pune, India, seeks a hands-on Lead Engineer (VP) to provide technical leadership across scalable data-ingestion platforms within the Global Data Ingestion team of Risk & Finance Technology.

You will define technical direction, solve complex problems, influence architecture and own production readiness, observability and secure deployment across teams.

Qualifications

• Significant software/data engineering experience with leadership of complex platforms in a large org.
• Hands-on development in Java/Spring Boot and Spark (Java and/or PySpark).
• Strong understanding of distributed processing, SQL, APIs, microservices and event-driven patterns.
• Practical experience with Kubernetes/OpenShift and GCP services.
• Experience with CI/CD, automated testing, Git workflows and production support.
• Ability to define technical direction and influence across teams.

Responsibilities

• Provide hands-on technical leadership for architecture, design, development and evolution of data-ingestion platforms.
• Define technical direction aligned with priorities and standards.
• Lead delivery using Java, Spring Boot, Spark, PySpark, Kubernetes, OpenShift and GCP services.
• Develop reusable frameworks and patterns for batch, API-based and event-driven processing.
• Contribute to coding, prototyping, reviews and critical changes.
• Drive CI/CD, automated testing, secure deployment and performance engineering.
• Own production readiness, observability and incident resolution.
• Embed security, data management, risk and regulatory controls throughout engineering.
• Mentor engineers and foster accountability and collaboration.

Skills

Java

Spring Boot

Apache Spark

PySpark

Kubernetes

OpenShift

Google Cloud Platform

CI/CD

Automated testing

Security engineering

Job description

• The Global Data Ingestion team within Risk & Finance Technology delivers trusted, high-quality data to platforms supporting Risk, Finance and Treasury. We are looking for a hands‑on Lead Engineer to provide technical leadership across scalable data‑ingestion products and services.
• As a Vice President, you will define technical direction, solve complex engineering problems, influence architecture and engineering practices beyond the immediate team, and develop the capability of other engineers. You will work closely with Product Owners, Architects, engineers, business stakeholders and control functions, retaining end‑to‑end ownership from solution design through production operation.

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
• 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

• Provide hands‑on technical leadership for the architecture, design, development and evolution of secure, scalable and resilient data‑ingestion platforms.
• Define and communicate technical direction aligned with business priorities, target architecture and divisional engineering standards.
• Lead delivery using Java, Spring Boot, Apache Spark, PySpark, Kubernetes, OpenShift and Google Cloud Platform services such as Cloud Run, Dataproc, GKE and BigQuery.
• Develop reusable frameworks, common components and engineering patterns for batch, API‑based, event‑driven and distributed data processing.
• Remain actively involved in coding, prototyping, code reviews, troubleshooting and critical technical changes.
• Drive clean‑code practices, automated testing, CI/CD, secure deployment, performance engineering and continuous improvement.
• Own production readiness, observability, service‑level objectives, capacity, resilience, incident resolution and sustainable remediation.
• Embed information security, data management, risk, audit and regulatory controls throughout the engineering lifecycle.
• Influence architecture and engineering decisions across teams, simplifying the technology estate and reducing duplication, technical debt and operational risk.
• Mentor and coach engineers, resolve technical disagreements and foster an inclusive culture of accountability, collaboration and continuous learning.

Your skills and experience

• Significant experience in software or data engineering, including technical leadership of complex platforms or products in a large organisation.
• Strong hands‑on development experience in Java, Spring Boot and Apache Spark using Java and/or PySpark.
• Strong understanding of distributed processing, SQL, data modelling, APIs, microservices and event‑driven integration patterns.
• Practical experience with Kubernetes, OpenShift and Google Cloud Platform, preferably Cloud Run, Dataproc, GKE and BigQuery.
• Experience with CI/CD, automated testing, Git‑based workflows, secure engineering and production support for business‑critical services.
• Demonstrated ability to define technical direction, develop reusable standards and influence decisions across organisational boundaries.
• Strong analytical, communication and stakeholder‑management skills, with the ability to connect engineering decisions to business value, risk and total cost of ownership.
• Experience mentoring engineers and improving the technical capability, delivery discipline and production ownership of wider teams.
• Experience in a regulated environment, preferably banking, financial services, Risk, Finance, Treasury or regulatory reporting.

Good to have

Hands‑on experience with GitHub Copilot and/or Gemini Code Assist or CLI; Agentic AI applications; specification‑driven development; Model Context Protocol; LangChain/LangGraph; Retrieval‑Augmented Generation; Polars; Trino; Kafka; data lineage, metadata and data‑quality frameworks; Site Reliability Engineering and FinOps.

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:

We 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.