Senior Data Scientist - Marketing Data Platform

LexisNexis® Risk Solutions; City Of London; On-site; GBP 85,000 - 110,000; Full time

Job summary

LexisNexis Risk Solutions is seeking a data engineer to build and optimise data infrastructure enabling marketing and customer data capabilities. You will create scalable pipelines, data models, and governance practices to support analytics, segmentation, and real-time engagement, collaborating with cross-functional teams to deliver high-quality data solutions.

The role emphasizes data quality, GDPR/PII compliance, and delivering reliable datasets for dashboards and analytics, with opportunities

Qualifications

• This role requires strong SQL skills and experience with ETL/ELT and pipeline orchestration tools.
• Experience with cloud data platforms (Azure, AWS, or GCP).
• Proficiency in data modelling (dimensional, ER, event-driven).
• Familiarity with marketing data ecosystems including CDPs, CRM, and behavioural data.
• Experience supporting analytics and BI tools from a data engineering perspective.
• Knowledge of data governance, quality frameworks, and GDPR/PII.
• Ability to translate business requirements into scalable technical solutions.
• Strong collaboration and communication with both technical and non-technical stakeholders.

Responsibilities

• Build and maintain scalable data pipelines integrating customer, campaign, and operational data into the CDP and marketing data layer.
• Design and manage data models to support segmentation, lifecycle analytics, attribution, and KPI measurement.
• Ensure data quality, consistency, deduplication, and optimisation for analytics and reporting use cases.
• Enable CDP functionality including identity resolution, consent management, and audience readiness.
• Develop event streams and triggers to support customer journey orchestration and real-time decisioning.
• Provide structured datasets and semantic layers for dashboards and advanced analytics.
• Implement data governance practices, including lineage, cataloguing, validation, and GDPR/PII compliance.
• Partner with analytics, MarTech, and marketing teams to align data solutions with business needs.

Skills

SQL

Airflow

dbt

Python

Tools

Airflow

dbt

Data Factory

Power BI

Tableau

Job description

LexisNexis Risk Solutions is seeking a data engineer to build and optimise data infrastructure enabling marketing and customer data capabilities. You will create scalable pipelines, data models, and governance practices to support analytics, segmentation, and real-time engagement, collaborating with cross-functional teams to deliver high-quality data solutions.

The role emphasizes data quality, GDPR/PII compliance, and delivering reliable datasets for dashboards and analytics, with opportunities