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RBS

Data Engineer, VP

RBS Bengaluru, Karnataka, India

Banking · 1 employee

13 h ago
data-engineer Principal (10+ yrs) Full-time India
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About the role

You will drive the development of innovative, data-driven solutions and manage metadata, data quality, and lineage to support customer-centric decision-making. Additionally, you will build scalable cloud-native data pipelines and ensure compliance with data governance standards within a regulated banking environment.

What they look for

Data Engineering Data Governance Metadata Management Data Quality Data Lineage Data Architecture Cloud-native Data Solutions Data Observability Data Discovery AI-driven Data Management Data Pipelines Software Engineering Programming Analytics Engineering Data Cataloguing

Requirements

Candidates must have 15+ years of experience in data engineering, management, or architecture with a strong background in enterprise data platforms. You are expected to possess deep expertise in data governance, quality, and lineage, along with solid software engineering fundamentals.

Full description

Join us as a Data Engineer

In this key role, you’ll be the voice of our customers, using data to tell their stories and place them at the heart of all decision-making

We’ll look to you to drive the development of effortless, digital-first customer experiences

This is an opportunity to take on a new challenge and make a meaningful, far-reaching impact through your work

What you'll do

As a Data Engineer, you’ll focus on simplifying our bank by developing innovative, data-driven solutions through data engineering, data governance tooling, metadata management solutions, and emerging AI-driven data management technologies. You’ll also strive to deliver commercial outcomes while keeping both customer and bank data safe and secure.

Moreover, you’ll drive customer value by understanding complex business problems and requirements, applying the most appropriate and reusable tools to build data solutions. You’ll also support our strategic direction by engaging with the data engineering community to deliver opportunities, while carrying out complex tasks that enable metadata management, data quality, lineage, governance, and data discovery use cases.

Your responsibilities will also include:

  • Supporting data quality and observability by working with business and technology teams to implement and monitor controls and standards
  • Enabling effective metadata management by working with enterprise metadata repositories and data catalogue platforms
  • Driving data lineage and traceability by working with tools and frameworks to support end-to-end visibility of data flows
  • Supporting data governance practices to ensure compliance and effective data management
  • Building and supporting scalable data pipelines and cloud-native data solutions
  • Contributing to AI-enabled data management initiatives

The skills you'll need

To thrive in this role, you’ll need a strong understanding of data usage and dependencies, along with experience in extracting value and features from large-scale data. You’ll also have to bring practical experience in programming languages, alongside a solid knowledge of data and software engineering fundamentals.

Additionally, you’ll need:

  • 15+ years of experience in data engineering, data management, data architecture, or analytics engineering
  • Strong hands-on experience with enterprise data platforms and data management practices
  • Demonstrated experience delivering projects across data quality, metadata management, data cataloguing, data lineage, data governance, data products, and data marketplace capabilities
  • Experience operating within regulated environments such as banking, financial services, insurance, or similar industries

Hours

45

Job Posting Closing Date:

20/08/2026

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