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LexisNexis Risk Solutions

Data Engineer

London
Posted 12 days ago
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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 provide solutions that help businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our suite includes:

  • Anti-Money Laundering / Counter Terrorist Financing
  • Identity Authentication & Verification
  • Fraud and Credit Risk Mitigation
  • Customer Data Management

🔗 Learn more about LexisNexis Risk


About Our Team

Our team follows a Squad-based structure, ensuring collaborative resources across roles:

  • Squad Lead
  • Business Analyst
  • Development Lead
  • Developers
  • Testers

This structure fosters fast, cross-functional delivery by aligning everyone toward shared objectives.


About The Role

This role focuses on building data foundations to underpin customer data, marketing analytics, and journey orchestration. You’ll collaborate with analytical, marketing operations (MarTech), and business stakeholders to deliver:

  • Scalable, reliable, and trustworthy data solutions
  • Improved customer outcomes
  • Decision-making backed by data

Responsibilities

Data Architecture & Pipeline Engineering

  • Build and maintain customer, campaign, and operational data pipelines that feed into the Customer Data Platform (CDP)
  • Ensure data is accurate for analytics purposes

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Marketing Data Model Design

  • Develop scalable data models supporting:
    • Segmentation
    • Lifecycle analytics
    • Attribution modeling
    • KPI frameworks

CDP Enablement & Identity Management

  • Partner with MarTech and Analytics to enhance:
    • Identity resolution
    • Consent management logic
    • Data quality within the CDP

Journey Orchestration Data Readiness

  • Enable event streams, trigger logic, and monitoring for accurate, timely customer journeys

Analytics & Dashboarding Enablement

  • Provide structured datasets and semantic layers for:
    • Reporting
    • Dashboard optimisation (aligned with KPI frameworks)

Data Governance & Quality Assurance

  • Maintain data quality, lineage tracking, and compliance with:
    • GDPR
    • PII handling standards

Collaboration & Strategic Influence

  • Work closely with the Senior Marketing Analyst to align technical and business priorities
  • Translate technical concepts into accessible business insights

Operational Excellence & Standards

  • Implement best practices in:
    • Automation
    • Observability
    • Continuous improvement

Requirements

Technical Skills & Experience

  • Fluency in:

    • Advanced SQL queries
    • ETL/ELT frameworks
    • Cloud platforms (Azure, AWS, or GCP)
  • Proficient in:

    • Data modelling and pipeline orchestration using:
      • Tools like Airflow, Data Factory, or dbt

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  • Data Integration Expertise:

    • Merge CDP data sources:
      • Digital & CRM datasets
      • Transactional & behavioural records
    • Support identity resolution, consent handling, audience activation, and trigger logic
  • Dashboarding & Reporting:

    • Build data marts and semantic layers for:
      • Power BI / Tableau dashboards
    • Optimise datasets for:
      • KPI frameworks
      • Attribution models
      • Funnel/customer lifecycle analytics
  • Compliance & Quality Standards:

    • Data quality frameworks, lineage tracking, and cataloguing
    • Ensure adherence to GDPR & PII compliance
  • Pipeline Design & Monitoring:

    • Design secure pipelines with:
      • Alerting and SLA/SLO monitoring

Collaborative & Stakeholder Management

  • Translate business/marketing requirements into technical specifications

  • Communicate technical complexities to non-technical stakeholders effectively

  • Partner with:

    • Analytics
    • Marketing Ops
    • MarTech teams

Benefits

  • Industry-leading data ethics and risk solutions focus
  • Flexible country-specific benefits tailored to your location

🔗 Explore benefits by location: Link to Risk Solutions care page


📌 Join LexisNexis Risk Solutions to build a future-proof data foundation supporting smarter, trust-driven decision-making!

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Skills

SQL
ETL
ELT
Cloud Data Platforms
Data Modelling
Pipeline Orchestration
Airflow
Data Factory
dbt
CDP
Data Quality
Power BI
Tableau
GDPR
PII Compliance
Data Governance

Location

London, England, United Kingdom

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