At a Glance
- Tasks: Design and deliver scalable customer data solutions using advanced technology.
- Company: Join LexisNexis Risk Solutions, a leader in data analytics and risk management.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with excellent career advancement opportunities.
- Why this job: Make a real impact by shaping customer insights and enhancing decision-making processes.
- Qualifications: Experience in data engineering and strong skills in SQL, Python, and data modelling.
The predicted salary is between 60000 - 80000 £ per year.
About Our Team
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.
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.
Qualifications
- 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.
Senior Data Engineer- Customer Data Platform in London employer: RELX Group
At LexisNexis Risk Solutions, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our team is dedicated to empowering employees through continuous learning and growth opportunities, particularly in the rapidly evolving field of data engineering. Located in a vibrant environment, we offer competitive benefits and the chance to work with cutting-edge technology, making a meaningful impact on how businesses and communities operate.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer- Customer Data Platform in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like RELX Group!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Engineer- Customer Data Platform at RELX Group.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like RELX Group.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer- Customer Data Platform at RELX Group, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Engineer- Customer Data Platform in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at RELX Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at RELX Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at RELX Group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at RELX Group!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
