Data Engineer

LexisNexis Risk Solutions
London
Workplace: OnsiteFull timeFunction: Software EngineeringSkills: ["SQL","ETL","ETL/ELT","Airflow","Dbt","Data Factory","Power BI","Tableau","Azure","AWS","GCP","Data modelling","KPI frameworks","GDPR","PII","Identity resolution"]

Build and maintain scalable customer data foundations for marketing analytics, shaping pipelines and models that power journey orchestration and decision making. Collaborate with analytics, marketing ops, MarTech, and business stakeholders to deliver scalable, reliable, and trusted data solutions that help teams make informed decisions and improve customer outcomes.

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FursaFursa
LexisNexis Risk Solutions
LexisNexis Risk Solutions
2 months ago

Data Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 11 days agoStatus: Live

Job Summary

Build and maintain scalable customer data foundations for marketing analytics, shaping pipelines and models that power journey orchestration and decision making. Collaborate with analytics, marketing ops, MarTech, and business stakeholders to deliver scalable, reliable, and trusted data solutions that help teams make informed decisions and improve customer outcomes.
Location: London
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Data Architecture & Pipeline Engineering: Build and maintain reliable pipelines integrating customer, campaign, and operational data into the CDP, ensuring accuracy and readiness for analysis
  • •Marketing Data Model Design: Develop scalable models supporting segmentation, lifecycle analytics, attribution, and KPI frameworks
  • •CDP Enablement & Identity Management: Partner with MarTech and Analytics to improve identity resolution, consent logic, and data quality within the CDP
  • •Journey Orchestration Data Readiness: Enable event streams, triggers, and monitoring to support accurate, timely customer journeys
  • •Analytics & Dashboarding Enablement: Provide structured datasets and semantic layers for reporting and dashboards, aligned with KPI frameworks

Key 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
Experience:Marketing analyticsData engineeringCDPBI dashboards
Skills:SQLETLETL/ELTAirflowDbtData FactoryPower BITableauAzureAWSGCPData modellingKPI frameworksGDPRPIIIdentity resolution
Languages:English
Tech Stack:SQLAirflowDbtPower BITableauAzureAWSGCPData FactoryETLELTData Modeling

Company Brief

LexisNexis Risk Solutions
Provides data, analytics, and technology solutions to help businesses manage risk, detect fraud, comply with regulations, and make decisions across insurance, financial services, government, and commercial sectors.
Industry: RegTech
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Funding: Public Company
Headquarters: Alpharetta, United States
WebsiteLinkedIn