Data Engineer
Skills
About the role
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
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