Data Engineer, VP

NatWest Group; Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

NatWest Group in Bengaluru is seeking a Vice President level Data Engineer to design and deliver scalable data pipelines and analytics products. You will lead data engineering initiatives, drive architectural decisions around lakehouse and streaming solutions, and collaborate with stakeholders to maximize customer value while ensuring governance and security.

You will work with PySpark, SQL, Airflow, MongoDB, Apache Iceberg and AWS in a regulated, data-centric environment to deliver resilient

Qualifications

• Strong experience building data pipelines and data models.
• Proven ability to work with streaming data and lakehouse architectures.
• Experience in regulated environments and data governance practices.

Responsibilities

• Build data pipelines and ETL workflows to deliver scalable solutions.
• Lead data platform governance, code quality, CI/CD and production resilience.
• Collaborate with stakeholders to translate complex problems into data products.
• Drive streaming data ingestion and transformations per strategy.

Skills

PySpark

SQL

Airflow

MongoDB

Apache Iceberg

AWS

CDC

Lakehouse

Tools

Git/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