Data Engineer, VP

NatWest Group; Bengaluru; On-site; INR 25,00,000 - 35,00,000; Full time

Job summary

A major financial institution is seeking a Data Engineer at the vice president level in Bengaluru, India. The role involves developing data-driven solutions and automating data engineering pipelines to enhance customer experiences. Ideal candidates should have over 15 years of expertise in Python and SQL, a solid grounding in data warehousing, and practical skills in AWS and IBM Cloud. Strong communication abilities and experience in regulated environments are essential for this impactful position.

Qualifications

• 15+ years of experience in Python and SQL, with expertise in building scalable ETL pipelines.
• Proficient in AWS and IBM Cloud for NLP and LLM workflows.
• Experience working in a governed and regulatory environment.

Responsibilities

• Develop innovative data-driven solutions through data pipelines and ETL design.
• Build advanced automation of data engineering pipelines.
• Deliver a clear understanding of data platform costs.

Skills

Python

SQL

Pandas

PySpark

API integration

ETL pipelines

AWS

IBM Cloud

NLP techniques

data quality testing

Tools

AWS Bedrock

IBM Watson

vector databases

Pinecone

Weaviate

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 languages alongside knowledge of data and software engineering fundamentals.

Additionally, you’ll need:

• 15+ years of experience in Python and SQL expertise; experienced with Pandas, PySpark, API integration, and building scalable ETL pipelines for large datasets
• Proficient in AWS and IBM Cloud; familiar with AWS Bedrock, IBM Watson, and orchestration for NLP/LLM workflows
• Skilled in designing optimized data models for NLP and LLMs; knowledge of vector databases like Pinecone and Weaviate for embeddings
• Experience of ETL technical design, data quality testing, cleansing and monitoring, data sourcing, and exploration and analysis
• Data warehousing and data modelling capabilities
• 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