Data Engineer, Analytics Engineering

NatWest Group

. Develop innovative data-driven solutions through data pipelines, modelling, and design .

Posted 10/14/2026full-timeLondon • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing data-driven solutions and managing governed data products, with a strong focus on data modeling, quality control, and collaboration with stakeholders. Proficient in designing scalable data architectures and implementing data governance practices in cloud environments.

Highest-signal resume keywords

Analytics EngineeringData ModelingSQL ProficiencyCloud Data PlatformsData Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentData ArchitectureCanonical Data ModelsSemantic Data ModelsData Quality ChecksTransformation-as-CodeAutomated DeploymentProgramming LanguagesData Engineering FundamentalsVersion Control

Soft Skills

CommunicationWorkshop Leadership

Tools & Technologies

AWSIceberg

Industry Keywords

Data ProductsBusiness IntelligenceData GovernanceData AnalyticsData Engineering

Tech Stack

Tools & technologies

AWSCloudSQL

About the role

Key responsibilities & impact

Develop innovative data-driven solutions through data pipelines, modelling, and design
Understand complex business problems and requirements to build appropriate, reusable data solutions
Carry out complex data engineering tasks to build scalable data architecture
Build understanding of the Data Product ecosystem and contribute to reusable Data Products supporting PBWM business and functions
Work with business stakeholders to translate needs into canonical and semantic data models
Design and evolve standardised, cross-domain models for party, account, deposit, and mortgages
Build and maintain governed analytical data products that are documented, discoverable, and consistently used
Define and implement data quality checks, SLAs, and governance practices
Collaborate with data architects, engineers, BI teams, and data scientists to ensure scalable, performant, consumable models on the cloud data platform

Requirements

What you’ll need

Significant experience as an Analytics Engineer, BI Engineer, or Data Architect in complex, data-rich environments
Proven track record of managing governed data products with clear ownership, SLAs, documentation, and quality control
Strong track record designing canonical data models across multiple systems or domains and semantic layers for different audiences or stakeholders
Excellent SQL and data modelling skills on modern formats like Iceberg on AWS
Confidence working with large and complex datasets in the cloud
Hands-on experience with transformation-as-code, testing, version control, and automated deployment
Practical experience with programming languages
Knowledge of data and software engineering fundamentals
Ability to communicate complex data concepts simply and lead workshops with nontechnical stakeholders

Benefits

Comp & perks

Work from home some of the time
Hybrid working arrangement
35-hour working week