Data Engineer, VP

NatWest Group; Gurugram District; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

NatWest Group in India seeks a Data Engineer at VP level to design and implement scalable data architectures, pipelines and streaming solutions. You will simplify the organisation by building data-driven, secure, compliant platforms while embedding cost awareness and governance across teams.

You will lead engineers, ensure robust CI/CD, and apply modern development practices in a regulated environment, delivering high-quality, reusable data solutions that support business decisions.

Qualifications

• Strong understanding of data usage and dependencies in large-scale environments.
• Experience extracting value from data and applying reusable tools.
• Familiarity with governed and regulatory environments and modern code practices.

Responsibilities

• Lead data engineering tasks to build scalable data architectures and pipelines.
• Collaborate to drive streaming data ingestion and transformations per strategy.
• Own cost understanding of data platforms and help meet budget targets.
• Mentor engineers and ensure code quality, CI/CD and governance.

Skills

PySpark

SQL

Airflow

MongoDB

Apache Iceberg

AWS

CDC

Git

CI/CD

Regulatory compliance

Stakeholder communication

Tools

Git

CI/CD

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