LexisNexis Risk Solutions
Senior Data Engineer CDP Platform

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About the Business
LexisNexis® Risk Solutions provides customers with solutions and decision tools that combine public and industry-specific content with advanced technology and analytics to assist in evaluating and predicting risk and enhancing operational efficiency.
We use the power of data and advanced analytics to help our customers make better, timelier decisions. By bringing clarity to information, we help make communities safer, insurance rates more accurate, commerce more transparent, business decisions easier, and processes more efficient.
You can learn more about LexisNexis Risk Solutions here: LexisNexis Risk Solutions
About Our Team
The MarTech – Marketing Automation team is a dynamic group managing several SaaS-based solutions within the Marketing Technology stack for LNRS Data Services.
About the Role
This role focuses on designing and delivering scalable customer data platform (CDP) solutions, enabling unified and high-quality customer insights across the organisation.
You will work closely with both technical and business stakeholders to shape architecture, lead design decisions, and ensure effective integration of customer data systems.
Responsibilities
- Design and architect scalable customer data solutions using Oracle Unity CDP, aligned with enterprise data architecture and business objectives
- Build and integrate data pipelines to ingest, transform, unify, and synchronize customer data from multiple internal and external sources
- Define, implement, and maintain data models supporting Customer 360 profiles, segmentation, and activation use cases, with strong data quality controls
- Integrate Oracle Unity CDP with the enterprise data lake and related platforms, ensuring consistency and governance
- Lead and contribute to technical design, data modelling, and architecture workshops with engineering and business stakeholders
- Identify technical design and data model risks, validate their impact, and develop mitigation strategies
- Monitor, optimise, and support ETL processes and CDP operations, resolving data quality, performance, and integration issues
- Establish and maintain documentation, data governance, and security standards, ensuring compliance with privacy and regulatory requirements
- Communicate technical concepts, trade-offs, and recommendations clearly to non-technical stakeholders and executive audiences
- Partner with the Oracle vendor implementation team throughout discovery, build, and go-live phases
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.
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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.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour 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.
See breakdownIt 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.
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.
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.
Requirements


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- Experience in software engineering, data engineering, or data architecture
- Proven experience as a Lead Engineer or Senior Individual Contributor owning critical platforms or capabilities
- Experience designing and operating Customer Data Platforms (e.g., Oracle Unity, Salesforce Data Cloud, Adobe Experience Platform, Tealium)
- Strong expertise in data modelling, Customer 360 architectures, data pipelines, and ETL frameworks
- Strong working knowledge of SQL, Python, and JSON
- Experience integrating CDPs with enterprise ecosystems such as data lakes, CRM, marketing automation, and analytics platforms
- Experience working with cloud platforms (e.g., Oracle Cloud, AWS, Azure, Snowflake, Databricks) and REST APIs
- Understanding of data governance, data quality frameworks, and data privacy regulations, with the ability to lead technical discussions and influence stakeholders
What We Offer
- Collaboration with Oracle’s implementation team during the build phase, providing direct access to product experts and best-practice guidance
- Dedicated Oracle University training and certification
Learn more about the LexisNexis Risk team and how we work here: LexisNexis Risk Solutions
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