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 opportunities for remote work.
- Other info: Dynamic team with excellent career growth and learning opportunities.
- Why this job: Make a real impact by turning complex data into actionable insights.
- Qualifications: Experience in software engineering and data architecture is essential.
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.
Senior Software Engineer in Sutton employer: Elsevier
LexisNexis Risk Solutions is an exceptional employer that fosters a collaborative and innovative work culture, where Senior Software Engineers can thrive while designing impactful customer data platforms. With a strong emphasis on employee growth, the company offers numerous opportunities for professional development and cross-functional collaboration, all within a dynamic team environment that values clarity, governance, and cutting-edge technology. Located in a vibrant area, LexisNexis provides a unique advantage by combining advanced analytics with meaningful business outcomes, making it a rewarding place to contribute to community safety and operational efficiency.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer in Sutton
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects. This gives potential employers a taste of what you can do beyond the written word.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to customer data platforms. 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 genuinely interested in joining our team.
We think you need these skills to ace Senior Software Engineer in Sutton
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior Software Engineer role. Highlight your experience with customer data platforms, data pipelines, and any relevant technologies like Oracle Unity CDP.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're excited about this role and how your background makes you a great fit. Mention specific projects or achievements that demonstrate your expertise in data engineering and architecture.
Showcase Your Technical Skills:Don’t shy away from listing your technical skills prominently. We want to see your proficiency in SQL, Python, and any cloud platforms you've worked with. Make it easy for us to see how you can contribute to our team.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our team and culture!
How to prepare for a job interview at Elsevier
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Oracle Unity CDP, SQL, and Python. Brush up on your data modelling skills and be ready to discuss how you've designed and operated customer data platforms in the past.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in previous roles, particularly around data quality and integration issues. Highlight how you approached these problems and the solutions you implemented, as this will demonstrate your critical thinking and technical prowess.
✨Communicate Clearly with Non-Techies
Since the role involves explaining complex concepts to non-technical stakeholders, practice simplifying your technical knowledge. Think of ways to convey your ideas clearly and concisely, perhaps using analogies or visual aids, to ensure everyone understands your points.
✨Understand the Business Impact
Familiarise yourself with how customer data platforms can drive business outcomes. Be prepared to discuss how your work can enhance operational efficiency and support decision-making processes, showing that you understand the bigger picture beyond just the technical aspects.
