Principal Data Engineer

• Collaborates with the Data Engineering Manager and the wider team to design and implement scalable data solutions
• Comfortable leading grooming sessions, ensuring alignment between technical teams and business stakeholders
• Works closely with business users to document information requirements and translate them into robust data models
• Leads the development of data streaming and real-time analytics systems
• Optimizes code and queries for high performance and efficient resource utilization
• Balances big-picture architecture decisions with deep technical expertise in data modeling and business logic
• Pragmatic approach to delivering Minimum Viable Products (MVPs) while ensuring long-term scalability
• Strong ability to prioritize and manage a busy workload
• Champions attention to detail, clear communication, enthusiasm, and a willingness to learn
• Lead the design and maintenance of data pipelines and workflows
• Actively collaborate with the Data Engineering Manager to define and evolve long-term data strategies
• Comfortable leading backlog grooming sessions
• Work closely with stakeholders across BI Reporting, ERP, Marketing, and Data Protection
• Identify and onboard new data sources to expand the analytics capabilities
• Support BAU operations, including scheduled data transfers, service desk requests, and incident resolution
• Take an MVP-driven approach to designing and iterating on data solutions
• Produce comprehensive documentation
• Mentor Junior and Senior Data Engineers
• Provide leadership in the absence of the Data Engineering Manager, acting as Scrum Master when required
• Maintain data integrity, GDPR compliance, source control, backup processes, and deployment/testing of new data pipelines
• Promote a collaborative and supportive team environment

• Degree-level education in a numerate subject (e.g., Computer Science, Mathematics, Engineering, or related)
• Microsoft Fabric, Azure, or BI certifications are advantageous
• Strong proficiency in Microsoft Fabric, PySpark, SparkSQL, and T-SQL
• Experience designing scalable solutions in Azure Data Lake, Synapse, Delta Lake, and Lakehouse architectures
• Expertise in Azure Data Factory, Microsoft Fabric Pipelines, and Delta Live Tables
• Proficiency in Python and SQL for automation, ETL processes, and analytics
• Knowledge of GDPR, access control, metadata management, and audit logging
• Familiarity with machine learning models, AI-driven data analytics, and predictive modeling is a plus
• Strong attention to detail
• Excellent communication skills
• Ability to prioritize and manage a busy workload
• Problem-solving mindset
• Pragmatic and results-driven
• Enthusiastic and proactive
• Collaboration and mentorship

Familiarity with machine learning models, AI-driven data analytics, and predictive modeling

• Generous Staff Discount on all your favourite ELEMIS products and spa treatments, as well as discounts on L'OCCITANE Group products
• Excellent well-being policies including enhanced Maternity & Paternity policies, Income Protection, Life Assurance and more
• Generous Holiday Allowance, increasing with length of service
• Company Pension Scheme
• Healthcare Cash Plan (with Dental)
• Employee Assistance Programme for all Associates and their families
• Cycle to Work Scheme, Season Ticket Loan, Length of Service Awards