[Hiring] Senior Data Engineer @LexisNexis UK

Role Description

This position provides assistance and input to management, develops and leads large multi-functional development activities, solves complex technical problems, writes complex code for computer systems, and serves as a senior source of expertise. The position may also provide sizing or budget recommendations to management.

• Business & Product Leadership: Partner with cross-functional stakeholders to deliver analytics and technology solutions that support business goals.
• Prioritize the team roadmap, drive data-informed decision-making, communicate progress and recommendations to leadership, and ensure compliance with security, governance, and regulatory standards.
• Define and measure success through business impact, solution quality, and user adoption.
• Data & Platform Management: Lead the development and maintenance of scalable data, analytics, and automation solutions.
• Ensure data quality, platform reliability, operational excellence, and efficient use of cloud and technology resources while promoting modern engineering practices and automation.
• People Leadership & Execution: Recruit, mentor, and develop technical teams across analytics and data disciplines.
• Manage resources, budgets, priorities, and delivery risks while fostering accountability, collaboration, continuous improvement, and high-quality execution.
• Provide technical leadership, support strategic planning, and serve as a subject-matter expert within the organization.

Qualifications

• Bachelor's or advanced degree in Computer Science, Engineering, Data Science, Statistics, or a related field, or equivalent practical experience.
• Significant professional experience in one or more of: data engineering; data science or machine learning; business intelligence or advanced analytics; or DevOps, DataOps, MLOps, or cloud-platform engineering.
• Experience leading technical teams and managing people, capacity, and delivery while remaining hands-on technically.
• Strong proficiency in SQL and at least one programming language, such as Python.
• Experience designing and operating production-grade data, analytics, ML, or cloud-platform solutions.
• Hands-on experience deploying AI solutions in production, including generative AI and LLM applications using patterns such as RAG, embeddings, vector databases, fine-tuning, and agentic workflows.
• Experience with AI/ML frameworks and platforms (e.g., PyTorch, Hugging Face, LangChain, Amazon Bedrock, Azure OpenAI, Vertex AI).
• Experience evaluating and monitoring AI systems for performance, quality, drift, latency, and cost, guided by responsible AI practices.
• Ability to identify high-value AI use cases and deliver measurable business outcomes.
• Working knowledge of cloud platforms, data warehouses or lakehouses, orchestration, CI/CD, and monitoring tools.
• Strong understanding of data quality, governance, security, scalability, and reliability.
• Proven ability to manage multiple initiatives and competing priorities in a changing environment.
• Strong communication skills and the ability to collaborate with technical teams, business stakeholders, and senior leadership.

Benefits

• We promote a healthy work/life balance across the organisation.
• Numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals.
• Flexible working hours to help fit everything in and work when you are the most productive.