Data Engineer III

Pearson VUE

. Deliver data integration and transformation solutions for TOpS, supporting quality, compliance, and timely delivery for a major UK Government contract .

Posted 10/23/2026full-timeLondon • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing AWS-based data pipelines and SQL logic for data integration and transformation, ensuring compliance and performance optimization. Proficient in collaborating with cross-functional teams to implement scalable data solutions and support operational activities.

Highest-signal resume keywords

AWS Data Pipeline DevelopmentSQL Database DevelopmentDatabase Performance TuningAgile Delivery ExperienceGitHub Version Control

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Integration ServicesSQL DevelopmentETL/ELT Solution DevelopmentDatabase ObjectsSQL Execution PlansAutomation ScriptsData Transformation SolutionsRelational DatabasesIndexing StrategiesCDC Processes

Soft Skills

AdaptabilityLearning to LearnCollaboration

Tools & Technologies

AWS ToolsGitHubCI/CD PipelinesAuroraMySQLPostgreSQL

Certifications & Qualifications

AWS CertificationAzure Certification

Industry Keywords

Data IntegrationEnterprise Data IntegrationAgile TeamsUK Government ContractData Modellers

Tech Stack

Tools & technologies

AWSAzureETLMySQLPostgresSQL

About the role

Key responsibilities & impact

Deliver data integration and transformation solutions for TOpS, supporting quality, compliance, and timely delivery for a major UK Government contract
Develop AWS-based data pipelines and SQL logic to enable reliable, scalable data flows across Pearson’s enterprise platforms
Tightly integrate multiple products using AWS tools
Design, develop, and maintain reusable data pipelines following engineering standards
Build SQL-based transformation logic and database objects within relational databases
Analyse SQL execution plans, optimise queries, and implement indexing strategies for performance
Develop automation scripts for database deployment and operational activities
Support schema changes via GitHub and CI/CD pipelines
Collaborate with Data Modellers, Architects, and Engineers to implement data models and resolve pipeline issues
Work within a 37.5-hour week and core hours of Monday to Friday, 10 to 4 GMT/BST
Occasional business travel to other Pearson sites may be required

Requirements

What you’ll need

Strong hands-on experience with data integration services and SQL database development
Experience with large-scale SQL data transformation solutions
Familiarity with relational databases, including Aurora, MySQL, and PostgreSQL
Experience in Agile teams and enterprise data integration environments
Experience with CDC processes such as DMS is desirable
Azure or AWS certification is desirable
Data pipeline development
SQL development, including complex queries, stored procedures, views, and functions
Database performance tuning and optimisation
ETL/ELT solution development
GitHub/version control
Agile delivery experience
Pearson Power Skills: Adaptability, Artificial Intelligence, and Learning to Learn (Intermediate)
Candidates must be a suitable commute from their base office

Benefits

Comp & perks

25 days annual leave, increasing by 1 day with every year of continuous service up to 30 days
Private pension plan scheme where Pearson pays in double what you contribute, up to 16% depending on your age
Life, private medical and dental care insurance options
Free eye tests
Stock/share purchase options
Maternity, paternity, and family care leave
Flexible working policies
Employee wellbeing assistance programme
Flexible day around core hours
Other flexible working patterns can be considered, including part-time working and non-traditional hours