Lead Engineer, Data Ingestion, VP

Deutsche Bank; Maharashtra; On-site; INR 3,000,000 - 5,500,000; Full time

Benefits offered by this job

Best in class leave policy

Gender neutral parental leaves

Childcare assistance reimbursement

Certification sponsorship

Employee Assistance Program

Health insurance

Life insurance

Health screening

Job summary

Deutsche Bank AG in Pune, India, seeks a hands-on Lead Engineer for the Global Data Ingestion team to provide technical leadership across scalable data-ingestion products and services. You will own end-to-end development from design to production, with strong emphasis on secure, resilient architectures and modern data processing patterns.

Responsibilities include defining technical direction, delivering with Java/Spring Boot/Spark, Kubernetes, and GCP services, and mentoring engineers while

Qualifications

• Extensive software or data engineering experience with leadership of complex platforms.
• Hands-on development with Java, Spring Boot and Apache Spark (Java or PySpark).
• Experience with Kubernetes/OpenShift and Google Cloud Platform (Cloud Run, Dataproc, GKE, BigQuery).
• CI/CD, automated testing, Git-based workflows, secure engineering and production support for business-critical services.
• Ability to define technical direction and influence across organizational boundaries.
• Experience mentoring engineers and improving technical capability in teams.
• Experience in regulated environments, preferably banking/financial services.

Responsibilities

• Provide hands-on technical leadership for architecture, design, development and evolution of secure, scalable data-ingestion platforms.
• Define and communicate technical direction aligned with priorities and standards.
• Lead delivery using Java, Spring Boot, Spark, Kubernetes, and GCP services.
• Develop reusable frameworks and patterns for batch, API-based, event-driven and distributed processing.
• Remain actively involved in coding, prototyping, code reviews and troubleshooting.
• Drive clean-code practices, automated testing, CI/CD, secure deployment and performance engineering.
• Own production readiness, observability, SLAs, capacity, resilience, incidents and remediation.
• Embed security, data governance, risk, audit and regulatory controls throughout lifecycle.
• Mentor engineers and foster accountability, collaboration and continuous learning.

Skills

Java

Spring Boot

Apache Spark

PySpark

Kubernetes

OpenShift

Google Cloud Platform

CI/CD

Data modeling

APIs

Microservices

Event-driven

Tools

GitHub Copilot

Gemini Code Assist

CLI

LangChain

LangGraph

Retrieval-Augmented Generation

Kafka

Job description

Job Description:Job Title: Lead Engineer, Data IngestionLocation: Pune, IndiaCorporate Title: VPRole DescriptionThe 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 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 responsibilitiesProvide 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 experienceSignificant 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 haveHands-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 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.