At a Glance
- Tasks: Design and build scalable customer data solutions using Oracle Unity CDP.
- Company: Join LexisNexis Risk Solutions, a leader in data analytics and risk management.
- Benefits: Enjoy competitive salary, health benefits, and flexible work options.
- Other info: Dynamic team environment with opportunities for professional growth and development.
- Why this job: Make a real impact by transforming complex data into actionable insights.
- Qualifications: Experience in data engineering and strong skills in SQL, Python, and data architecture.
The predicted salary is between 60000 - 80000 £ per year.
Are you excited about designing and scaling customer data platforms that power meaningful business outcomes? Do you enjoy working across teams to turn complex data into trusted, actionable insight?
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 them 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 ultimately 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 team that manages several SaaS based solutions as part of the Marketing Technology stack for LNRS Data Services.
About The Role
This role focuses on designing, building, and operating scalable customer data solutions using Oracle Unity CDP. You will work closely with engineering, data, and business stakeholders to enable high‑quality Customer 360 profiles, segmentation, and activation across the enterprise. The role emphasizes clear architecture, reliable data pipelines, and strong governance to support trusted decision‑making.
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.
- Lead and contribute to technical design, data modeling, and architecture workshops with engineering and business stakeholders.
- Integrate Oracle Unity CDP with the enterprise data lake and related platforms, ensuring consistency and governance.
- Monitor, optimize, and support ETL processes and CDP operations, resolving data quality, performance, and integration issues.
- Communicate technical concepts, trade‑offs, and recommendations clearly to non‑technical stakeholders and executive audiences.
- Establish and maintain documentation, data governance, security standards, and compliance with privacy and regulatory requirements.
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.
- Hands-on experience designing and operating Customer Data Platforms, including Oracle Unity CDP.
- Strong expertise in:
- Data modeling and Customer 360 architectures.
- Data pipelines and ETL frameworks.
- SQL, Python, JSON.
- Experience integrating CDPs with enterprise ecosystems (data lakes, CRM, marketing automation, analytics platforms).
- Experience working with cloud platforms (AWS, Azure, Snowflake, Databricks) and REST APIs.
- Strong understanding of data governance, data quality frameworks, and data privacy regulations.
- Demonstrated ability to lead technical discussions and influence cross-functional stakeholders.
- Excellent problem-solving and communication skills.
Preferred Qualifications
- Experience with Oracle Marketing ecosystem (Eloqua, Responsys, Unity Behavioral Intelligence).
- Experience supporting segmentation, personalization, and campaign orchestration use cases.
- Experience with event-driven or near real-time data architectures.
- Experience working in Agile, product-aligned delivery models.
- Exposure to AI/ML-driven customer segmentation or personalization.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits.
Senior Data Engineer- Customer Data Platform in Woking employer: RELX
At LexisNexis Risk Solutions, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our commitment to employee growth is evident through our dynamic MarTech-Marketing Automation team, where you will have the opportunity to design impactful customer data solutions while working alongside talented professionals. With a focus on well-being and tailored benefits, we ensure that our employees thrive both personally and professionally in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer- Customer Data Platform in Woking
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We think you need these skills to ace Senior Data Engineer- Customer Data Platform in Woking
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!
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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.
