Home
Communities
Companies
- Companies
  
  Discover best places to work
- Compare Companies
  
  Compare & find best workplace
- Add Office Photos
  
  Bring your workplace to life
- Add Company Benefits
  
  Highlight your company's perks
Reviews
- Company reviews
  
  Read reviews for 6L+ companies
- Write a review
  
  Rate your former or current company
Salaries
- Browse salaries
  
  Discover salaries for 6L+ companies
- Salary calculator
  
  Calculate your take home salary
- Are you paid fairly?
  
  Check your market value
- Share your salary
  
  Help other jobseekers
Interviews
- Company interviews
  
  Read interviews for 40K+ companies
- Campus placements
  
  Interviews questions for 1K+ colleges
- Share interview questions
  
  Contribute your interview questions
Jobs
Awards

WINNERS AWAITED!
- ABECA 2025
  
  WINNERS AWAITED!
  
  AmbitionBox Employee Choice Awards - 4th Edition
- ABECA 2024
  
  AmbitionBox Employee Choice Awards - 3rd Edition
- AmbitionBox Best Places to Work 2022
  
  2nd Edition
- AmbitionBox Best Places to Work 2021
  
  1st Edition

Add office photos

Employer? Claim Account for FREE

NatWest

Compare

4.3

based on 46 Reviews

47 NatWest Jobs

Data Engineer, AVP

National Westminster Bank (NatWest)

4.3

based on 46 Reviews

8-13 years

Gurgaon / Gurugram, Bangalore / Bengaluru

1 vacancy

Data Engineer, AVP

NatWest

posted 2mon ago

Job Role Insights

Flexible timing

Key skills for the job

SQL Automation Testing Spark CCTV Monitoring Data Architecture Data Structures and Algorithms

+ 2 more

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
Were 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 in SQL and NoSQL databases to support diverse data requirements

We ll expect you to have a minimum of eight years of experience in 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:

Experience in d eveloping and maintaining high-quality, reusable code in Pyspark and Spark SQL
Experience in development using technologies such as Spark and Kafka
Great communication skills with the ability to c ollaborate with software engineering teams to integrate data solutions into existing applications