# Lead Engineer, Data Ingestion

**Company**: Deutsche Bank
**Location**: Pune
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Finance

**Apply**: https://db.wd3.myworkdayjobs.com/en-US/DBWebsite/job/Pune---Business-Bay/Lead-Engineer--Data-Ingestion--VP_R0454255?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_fe322254-735

## Description

We are seeking a Lead Engineer, Data Ingestion to join our Global Data Ingestion team within Risk & Finance Technology. As a Vice President, you will provide technical leadership across scalable data-ingestion products and services, defining technical direction, solving complex engineering problems, and developing the capability of other engineers.

**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.

**Benefits:**

- 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

- Complimentary health screening for 35 years and above

**Requirements:**

- 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.

## Skills

### Required
- Java
- Spring Boot
- Apache Spark
- PySpark
- Kubernetes
- OpenShift
- Google Cloud Platform
- Cloud Run
- Dataproc
- GKE
- BigQuery
- CI/CD
- automated testing
- Git-based workflows
- secure engineering
- production support

### Nice to have
- GitHub Copilot
- Gemini Code Assist
- Agentic AI applications
- specification-driven development
- Model Context Protocol
- LangChain/LangGraph
- Retrieval-Augmented Generation
- Polars
- Trino
- Kafka
- data lineage
- metadata
- data-quality frameworks
- Site Reliability Engineering
- FinOps

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Source: [Apply at db.wd3.myworkdayjobs.com](https://db.wd3.myworkdayjobs.com/en-US/DBWebsite/job/Pune---Business-Bay/Lead-Engineer--Data-Ingestion--VP_R0454255?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)