AWS Data Engineer, VP

Natwest Digitalx; Gurugram District; On-site; INR 3,000,000 - 5,500,000; Full time

Job summary

Natwest Digitalx is seeking a Data Engineer at VP level to lead the design and delivery of data pipelines and architectures that underpin customer-centric, digital-first experiences. You will drive data-informed decision making by building robust, secure data solutions and partnering with business teams to translate requirements into scalable data products.

You will mentor peers, guide data engineering practices, and shape the data platform roadmap to enable fast, reliable analytics across the

Qualifications

• Experience in designing ETL pipelines and data architectures.
• Proficiency with large-scale data processing and analytics.
• Hands-on experience with AWS data services and Snowflake.
• Strong programming in Python and SQL.

Responsibilities

• Build advanced data pipelines and ETL design to support reporting and analytics.
• Develop scalable data architectures and data models for core business use cases.
• Collaborate with stakeholders to gather requirements and deliver reusable data solutions.
• Ensure data quality, monitoring, and governance across data products.
• Spearhead streaming data ingestion and real-time analytics initiatives.

Skills

Python

SQL

AWS Data Analytics

Snowflake

ETL design

Data quality testing

Data cleansing

Data monitoring

Data sourcing

Data architecture

Job description

Job Summary

Join us as a Data Engineer

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

What you'll do

As a Data Engineer, youll 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 banks data, safe and secure.

Youll 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. Youll 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, youll need a strong understanding of data usage and dependencies and experience of extracting value and features from large scale data.Youll also bring practical experience of programming languagesalongside knowledge of data and software engineering fundamentals.

Additionally, youll need:

• ETL technical design
• data quality testing
• data cleansing
• data monitoring
• data sourcing
• AWS Data Analytics
• Snowflake
• Python
• SQL

Hours

45