Data Engineer

Posted:
6/25/2026, 1:40:32 AM

Location(s):
Greater London, England, United Kingdom ⋅ England, United Kingdom

Experience Level(s):
Mid Level ⋅ Senior

Field(s):
Data & Analytics

Are you passionate about building trusted customer data foundations that power meaningful marketing decisions?

Would you like to shape scalable data pipelines and models that improve customer journeys, analytics, and business outcomes?

About the Business

LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, LexisNexis Risk Solutions | Transform Your Risk Decision Making

About our Team

Generally, the team is form in Squad where each squad consist of Squad Lead, Business Analyst, Dev lead, Developers and Testers. This Squad structure provides more connectivity among team members and allows us to deliver faster as all resources work as one group on dedicated tasks.

About the Role

In this role, you will build and enable the data foundations that support customer data, marketing analytics, and journey orchestration. You will work closely with analytics, marketing operations, MarTech, and business stakeholders to deliver scalable, reliable, and trusted data solutions that help teams make informed decisions and improve customer outcomes.

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

  • Data Governance & Quality Assurance: Maintain data quality, lineage, and compliance with GDPR and PII standards

  • Collaboration & Strategic Influence: Work closely with the Senior Marketing Analyst to align on priorities, translating technical concepts into business insights

  • Operational Excellence & Standards: Ensure scalable, stable data operations using best practices in automation, observability, and continuous improvement

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

Risk benefit statement

Learn more about the LexisNexis Risk team and how we work
https://relx.wd3.myworkdayjobs.com/RiskSolutions/page/21c296c982531000b79663f3194b0000

 

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LexisNexis

Website: https://lexisnexis.com/

Headquarter Location: Alpharetta, Georgia, United States

Employee Count: 5001-10000

Year Founded: 2000

IPO Status: Private

Industries: Analytics ⋅ Consulting ⋅ Cyber Security ⋅ Health Care ⋅ Information Services ⋅ Information Technology ⋅ InsurTech ⋅ Management Consulting ⋅ Risk Management ⋅ Software