At a Glance
- Tasks: Design and deliver scalable customer data platform solutions for unified insights.
- Company: LexisNexis Risk Solutions, a leader in data analytics and risk management.
- Benefits: Access to Oracle training, competitive salary, and a supportive work environment.
- Other info: Dynamic team with opportunities for growth and collaboration with industry experts.
- Why this job: Make a real impact by shaping customer data architecture and driving innovation.
- Qualifications: Experience in data engineering, strong SQL and Python skills, and knowledge of CDPs.
The predicted salary is between 60000 - 80000 £ per year.
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.
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.
Requirements
- 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.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
Senior Data Engineer- Customer Data Platform in Sutton employer: RELX
LexisNexis Risk Solutions is an exceptional employer that prioritises employee well-being and professional growth, offering a collaborative work culture where innovation thrives. As a Senior Data Engineer in the vibrant MarTech team, you will have access to dedicated training with Oracle University, ensuring you stay at the forefront of technology while contributing to meaningful projects that enhance operational efficiency and community safety. With a commitment to diversity and inclusion, LexisNexis fosters an environment where every voice is valued, making it an ideal place for those seeking a rewarding career in data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer- Customer Data Platform in Sutton
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at LexisNexis. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience with Customer Data Platforms and data engineering. This is your chance to shine!
✨Tip Number 3
Get ready for the interview! Research common questions for Senior Data Engineer roles and practice your answers. We want you to feel confident and ready to impress.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining the team.
We think you need these skills to ace Senior Data Engineer- Customer Data Platform in Sutton
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with Customer Data Platforms and data engineering, and don’t forget to showcase your skills in SQL, Python, and data modelling.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your background aligns with our mission at LexisNexis Risk Solutions. Keep it concise but impactful!
Showcase Your Projects:If you've worked on relevant projects, make sure to mention them! Whether it's building data pipelines or integrating CDPs, real-world examples can really set you apart from other candidates.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at RELX
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of customer data platforms, especially Oracle Unity. Brush up on your knowledge of data modelling, ETL processes, and how to integrate CDPs with enterprise ecosystems. Being able to discuss these topics confidently will show that you’re the right fit for the role.
✨Prepare for Technical Discussions
Expect to dive deep into technical design and architecture discussions during your interview. Prepare examples from your past experiences where you’ve led design decisions or resolved data quality issues. This will demonstrate your ability to communicate complex concepts clearly to both technical and non-technical stakeholders.
✨Showcase Your Problem-Solving Skills
Be ready to discuss specific challenges you’ve faced in previous roles, particularly around data integration and governance. Highlight how you identified risks, developed mitigation strategies, and optimised processes. This will illustrate your proactive approach and critical thinking skills.
✨Understand the Business Impact
It’s crucial to connect your technical expertise with business objectives. Be prepared to explain how your work in data engineering has contributed to better decision-making or operational efficiency in past roles. This will help interviewers see you as a strategic partner rather than just a technical resource.
