Business Risk Data Engineer

NatWest Group

. Design, develop, and implement innovative data-driven solutions to ensure information security and support customer needs .

Posted 9/23/2026full-timeBengaluru • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing data-driven solutions, with a strong focus on ETL processes, data quality, and information security. Proficient in leveraging AWS tools and AI for process automation while effectively communicating with stakeholders.

Highest-signal resume keywords

AWS ProductsETL Technical DesignData ModellingProcess Automation Using AI ToolsRisk Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Software Engineering FundamentalsData VisualisationData Quality MonitoringData Integrity SolutionsProgramming Languages

Soft Skills

Strong Communication SkillsStakeholder Engagement

Tools & Technologies

AI ToolsVersion Control Systems

Industry Keywords

Information SecurityData-Driven SolutionsBusiness Risk

Tech Stack

Tools & technologies

AWSETL

About the role

Key responsibilities & impact

Design, develop, and implement innovative data-driven solutions to ensure information security and support customer needs
Build automated processes that protect private bank information and monitor data quality, integrity, and security
Ensure data is accurately reported and properly communicated to influence strategic decisions by key stakeholders
Develop innovative data-driven solutions through Extract, Transform, and Load (ETL) design and implementation
Model and automate solutions that remove manual labour and showcase commercial success
Embed new data techniques and implement automated AI-driven processes
Solve complex business problems by creating appropriate, reusable, and scalable tools to gather and build data solutions
Deliver clear data reports for proactive risk detection and support data accessibility to the wider Business Risk unit
Develop robust solutions for monitoring quality and integrity of data-driven solutions
Collaborate with cross-functional teams across Business Risk for strategic direction

Requirements

What you’ll need

Strong understanding of AWS products and tooling for data usage and dependencies
Experience extracting value and features from large scale data
Practical experience of programming languages and data software engineering fundamentals
Experience of ETL technical design, data sourcing, data modelling and data visualisation
Strong understanding of modern code development practices and version control
Experience of process automation using AI tools
Knowledge of risk management and information security
Strong communication skills with the ability to proactively engage and manage a wide range of stakeholders