Senior Data Engineer

Team Data and Information Services

Working Pattern - Hybrid 2days per week in the Vitality Bournemouth or London Office.Full-time hours per week.

Top 3 skills needed for this role:

• Proven delivery of scalable data solutions
• Demonstrated expertise in modern data engineering practices
• Established capability in stakeholder engagement and cross-team collaboration

Key Actions

• Work closely with our Data Engineering team to deliver reliable high-quality data that powers impactful data flows and predictive models confidently contributing ideas and solutions along the way.
  
• Use a range of languages and tools to design build and manage robust data pipelines across multiple systems ensuring data is accessible trusted and ready to drive decision-making.
  
• Play an active role in key technical discussions and decisions helping to drive our outcome-focused SWAT approach and deliver meaningful results.
  
• Take the initiative to identify new opportunities for data acquisition and uncover ways to generate greater value from existing data assets.
  
• Collaborate effectively with Data Science Analytics Architecture and wider technology teams to design build test and maintain scalable high-performing data environments.
  
• Demonstrate a strong understanding of GDPR principles and confidently raise concerns or challenge decisions where appropriate to ensure compliance and best practice.
  
• Bring genuine curiosity for emerging technologies a passion for continuous learning and a keen interest in understanding and supporting the Vitality business.
  
• Support mentor and share knowledge with fellow Data Engineers helping to create a collaborative culture where everyone can grow and succeed.
  
• Actively listen to both technical and business stakeholders building strong relationships and communicating complex concepts clearly confidently and effectively.
  
• Proactively identify potential challenges and risks taking ownership to shape practical solutions that build trust drive innovation and deliver outstanding outcomes.

What do you need to thrive

• Bachelors degree in IT Systems Science Mathematics or a related field.
  
• 3 years experience across Business Intelligence data warehousing data management and ETL.
  
• Strong experience delivering data solutions within BI warehouses and/or data lake environments across both on-premise and cloud platforms.
  
• Hands-on experience with Big Data technologies data ingestion and streaming.
  
• Confident working with data lakes and data visualisation tools including semantic modelling.
  
• Strong understanding of data architecture principles and best practices.
  
• Passionate about engaging with stakeholders and collaborating across teams to deliver successful outcomes.
  
• A passion for sharing knowledge supporting colleagues and contributing to a collaborative team culture.