Data Engineer

Salary: £56,000 - 96,000 per year

Requirements:

• Advanced SQL, ETL/ELT frameworks, and cloud data platforms such as Azure, AWS, or GCP
• Data modelling and pipeline orchestration using tools such as Airflow, Data Factory, dbt, or similar
• Integrate CDP data sources across digital, CRM, transactional, and behavioural data; support identity resolution, consent handling, audience activation, journey events, trigger logic, and behavioural signals
• Build data marts and semantic layers for dashboarding and BI tools such as Power BI or Tableau; structure datasets optimised for KPI frameworks, attribution, funnel, and lifecycle analytics
• Apply data quality frameworks, lineage, cataloguing, and GDPR/PII compliance practices
• Design secure data pipelines with monitoring, alerting, and SLA/SLO management
• Translate business and marketing needs into clear technical specifications, communicating technical topics clearly to non-technical stakeholders
• Partner with analytics, marketing ops, and MarTech teams to own scalable, reliable, trusted customer-data solutions

Responsibilities:

• Build and maintain reliable pipelines integrating customer, campaign, and operational data into the CDP, ensuring accuracy and readiness for analysis
• Develop scalable models supporting segmentation, lifecycle analytics, attribution, and KPI frameworks
• Partner with MarTech and Analytics to improve identity resolution, consent logic, and data quality within the CDP
• Enable event streams, triggers, and monitoring to support accurate, timely customer journeys
• Provide structured datasets and semantic layers for reporting and dashboards, aligned with KPI frameworks
• Maintain data quality, lineage, and compliance with GDPR and PII standards
• Work closely with the Senior Marketing Analyst to align on priorities, translating technical concepts into business insights
• Ensure scalable, stable data operations using best practices in automation, observability, and continuous improvement

Technologies:

• Airflow
• AWS
• Azure
• Backbone
• Cloud
• CRM
• ETL
• GCP
• Support
• Marketing
• Power BI
• SQL
• Tableau
• dbt

More:

We are LexisNexis Risk Solutions, the essential partner in risk assessment within our Business Services vertical. We provide solutions that help businesses drive higher revenue growth, maximize operational efficiencies, and improve customer experience across areas such as Anti-Money Laundering and Counter Terrorist Financing, Identity Authentication and Verification, Fraud and Credit Risk mitigation, and Customer Data Management. This Data Engineer role is part of our Marketing Hub team in London Wall and serves as the technical backbone for customer data, analytics, MarTech, and digital capabilities. We offer country-specific benefits, support a fair and accessible hiring process, and are committed to equal opportunity employment.

last updated 34 week of 2026