Data Engineer VP

RBS; Gurugram District; On-site; INR 4,500,000 - 7,500,000; Full time

Job summary

RBS is seeking a Vice President-level Data Engineer in Gurugram to design and deliver scalable data architectures, pipelines, and streaming solutions. You will lead a team to implement governance and resilience while partnering with stakeholders to drive business value.

The role emphasizes building automated data platforms, cost visibility, and adherence to regulatory standards in a dynamic banking environment.

Qualifications

• Strong understanding of data usage and dependencies; ability to extract value from large-scale data.
• Experience building data pipelines, modelling, and ETL design in regulated environments.
• Excellent communication and stakeholder management skills.

Responsibilities

• Lead the data engineering effort to deliver scalable data architectures.
• Develop data pipelines, streaming transformations, and cost-aware data platforms.
• Guide engineers, own code quality, and ensure governance and risk-controlled delivery.

Skills

PySpark

SQL

Airflow

MongoDB

Apache Iceberg

AWS

CDC

Lakehouse

CI/CD

Automation

Governance

Regulatory

Stakeholder management

Communication

Tools

Git-based CI/CD

Job description

Job Description:

Join us as a Data Engineer

• You’ll be the voice of our customers, using data to tell their stories and put them at the heart of all decision-making
• We’ll look to you to drive the build of effortless, digital first customer experiences
• If you’re ready for a new challenge and want to make a far-reaching impact through your work, this could be the opportunity you’re looking for
• We're offering this role at vice president level

What you'll do

As a Data Engineer, you’ll be looking to simplify our organisation by developing innovative data driven solutions through data pipelines, modelling and ETL design, inspiring to be commercially successful while keeping our customers, and the bank’s data, safe and secure.

You’ll drive customer value by understanding complex business problems and requirements to correctly apply the most appropriate and reusable tool to gather and build data solutions. You’ll support our strategic direction by engaging with the data engineering community to deliver opportunities, along with carrying out complex data engineering tasks to build a scalable data architecture.

Your responsibilities will also include:

• Building advanced automation of data engineering pipelines through removal of manual stages
• Embedding new data techniques into our business through role modelling, training, and experiment design oversight
• Delivering a clear understanding of data platform costs to meet your departments cost saving and income targets
• Sourcing new data using the most appropriate tooling for the situation
• Developing solutions for streaming data ingestion and transformations in line with our streaming strategy

The skills you'll need

To thrive in this role, you’ll need a strong understanding of data usage and dependencies and experience of extracting value and features from large scale data.You’ll also bring practical experience of programming languagesalongside knowledge of data and software engineering fundamentals.

Additionally, you’ll need:

• To lead a configuration-first data platform, using reusable frameworks, metadata-driven pipelines and low-code/no-code engineering principles
• Strong expertise in PySpark, SQL, Airflow, MongoDB, Apache Iceberg and AWS, with experience in CDC, lakehouse architecture and production resilience
• To lead engineers and own code quality, Git-based CI/CD, automation, governance and risk-controlled delivery within a regulated environment
• A good understanding of modern code development practices
• Experience of working in a governed, and regulatory environment
• Strong communication skills with the ability to proactively engage and manage a wide range of stakeholders

Hours

45

Job Posting Closing Date:

10/09/2026

Requirements: