LexisNexis Risk Solutions

4 weeks ago

Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours 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

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

LexisNexis Risk Solutions

4 weeks ago

Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

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

Industry: RegTech

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Funding: Public Company

Headquarters: Alpharetta, United States

Website LinkedIn