Data Engineer, AVP

NatWest Group; Gurugram District; On-site; INR 6,000,000 - 8,000,000; Full time

Job summary

NatWest Group in Gurugram invites a data engineer at AVP level to architect data pipelines and ensure secure, scalable data products for customers. You’ll lead end‑to‑end data delivery, govern data sources, and drive cost‑effective architectures using lakehouse patterns on AWS.

Expect to extract value from large datasets, design complex transformations, and mentor peers while collaborating with stakeholders across product and analytics teams.

Qualifications

• Eight years of ETL design, data quality, cleansing and monitoring experience.
• Experience extracting value from large-scale data and building data products.
• Ability to source data and model datasets for analytics.

Responsibilities

• Develop comprehensive knowledge of data structures and metrics to support product development.
• Provide transformation solutions and carry out complex data extractions.
• Drive cost-effective data platform solutions and automate pipelines.

Skills

Data pipelines

Data modelling

Data warehousing

CDC

Cloud platforms

CI/CD

Tools

PySpark

SQL

MongoDB

Kafka

AWS

Job description

Join us as a Data Engineer

• We’re looking for someone to build effortless, digital first customer experiences to help simplify our organisation and keep our data safe and secure
• Day‑to‑day, you’ll develop innovative, data‑driven solutions through data pipelines, modelling and ETL design while inspiring to be commercially successful through insights
• If you’re ready for a new challenge, and want to bring a competitive edge to your career profile by delivering streaming data ingestions, this could be the role for you
• We're offering this role at associate vice president level

What you’ll do

Your daily responsibilities will include you developing a comprehensive knowledge of our data structures and metrics, advocating for change when needed for product development. You’ll also provide transformation solutions and carry out complex data extractions.

We’ll expect you to develop a clear understanding of data platform cost levels to build cost‑effective and strategic solutions. You’ll also source new data by using the most appropriate tooling before integrating it into the overall solution to deliver it to our customers.

You’ll also be responsible for:

• Driving customer value by understanding complex business problems and requirements to correctly apply the most appropriate and reusable tools to build data solutions
• Participating in the data engineering community to deliver opportunities to support our strategic direction
• Carrying out complex data engineering tasks to build a scalable data architecture and the transformation of data to make it usable to analysts and data scientists
• Building advanced automation of data engineering pipelines through the removal of manual stages
• Leading on the planning and design of complex products and providing guidance to colleagues and the wider team when required

The skills you’ll need

To be successful in this role, you’ll have an understanding of data usage and dependencies with wider teams and the end customer. You’ll also have experience of extracting value and features from large scale data.

We’ll expect you to have at least eight years experience of ETL technical design, data quality testing, cleansing and monitoring, data sourcing, exploration and analysis, and data warehousing and data modelling capabilities.

You’ll also need:

• To build scalable data pipelines using PySpark, SQL, MongoDB and Kafka, delivering high‑quality data products and CDC solutions across cloud‑based data platforms
• To own end‑to‑end data product delivery on AWS, applying lakehouse architecture, data governance, security controls and operational excellence to meet business needs
• To drive a configuration‑first engineering approach, leveraging low‑code frameworks, reusable components, automation and CI/CD best practices to accelerate deliver
• Experience of using programming languages alongside knowledge of data and software engineering fundamentals
• Good knowledge of modern code development practices
• Strong communication skills with the ability to proactively engage with a wide range of stakeholders