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TUI Logo TUI · IT - Software Development

Senior Digital Data Engineering Manager

United Kingdom; Netherlands; Germany; Sweden; Belgium, Luton · Job Posted June 14, 2026
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Job Description

As a Senior Digital Data Engineering Manager, you'll develop and drive the strategic direction for TUI's digital analytics capabilities, ensuring they align with and support business objectives. You'll define analytics standards, frameworks, and best practices across digital platforms while collaborating with stakeholders to identify opportunities for leveraging analytics to improve customer experience and business performance, serving as the bridge between technical implementation and business value by translating analytics capabilities into actionable insights and strategic recommendations.

Job Responsibility

  • Develop and drive the strategic direction for TUI's digital analytics capabilities
  • Define analytics standards, frameworks, and best practices across digital platforms
  • Collaborate with stakeholders to identify opportunities for leveraging analytics to improve customer experience and business performance
  • Serve as the bridge between technical implementation and business value
  • Lead a team of data engineers to deliver against the roadmap
  • Manage the team, leading team meetings, managing the work load via JIRA and conducting one to ones
  • Mentor the engineers
  • Lead the design and implementation of data pipelines and integration processes for customer and marketing data
  • Design scalable ETL processes for analytics data
  • Develop data integration solutions between various platforms
  • Implement data transformation and enrichment processes
  • Establish and maintain data quality frameworks
  • Develop automated data quality checks and validation processes
  • Implement monitoring systems for data pipeline health
  • Create documentation and standards for data quality assurance
  • Work with cross-functional teams to understand data requirements
  • Gather requirements from analytics and business teams
  • Translate business needs into technical specifications
  • Provide technical consultation on data engineering capabilities
  • Drive innovation in data engineering practices by researching emerging technologies
  • Conduct proof-of-concept implementations
  • Develop roadmaps for technology adoption and migration
  • Ensure compliance with data privacy regulations and security requirements
  • Oversee the development of technical documentation for data engineering solutions

Requirements

  • Proficiency in programming languages commonly used for data engineering such as Python, SQL, and Java, along with understanding of database technologies including relational and NoSQL databases
  • Experience with cloud platforms such as AWS, Azure, or GCP and their data services
  • Knowledge of data quality assurance methodologies and tools
  • Experience with data visualization tools such as Tableau or Power BI
  • Understanding of A/B testing and experimentation methodologies
  • Knowledge of digital customer journeys and touchpoints
  • Proven success developing analytics strategies and measurement frameworks
  • Ability to bridge technical and business perspectives and translate analytics into business value
  • Bachelor's degree in Business, Marketing, Computer Science, or related field
  • Proven experience in digital analytics, business intelligence, or related roles at a senior level
  • Outstanding communication and presentation skills
  • Ability to influence stakeholders and manage relationships effectively across multiple business units and markets
  • Comfortable working with agile development methodologies
  • Solid understanding of data privacy regulations including GDPR and CCPA
  • Master's degree in Business, Analytics, or related field would be advantageous
  • Professional certifications in relevant analytics platforms would be advantageous
  • Experience in the travel or e-commerce industry would be advantageous
  • Understanding of machine learning and AI applications in analytics would be advantageous

Nice to have

  • Master's degree in Business, Analytics, or related field
  • Professional certifications in relevant analytics platforms
  • Experience in the travel or e-commerce industry
  • Understanding of machine learning and AI applications in analytics

What we offer

  • Attractive remuneration
  • Discretionary bonus schemes
  • Generous travel benefits
  • Extensive health & well-being support
  • Flexible working
  • Access to the TUI Learning Hub
  • Intercultural collaboration
  • Opportunities to work on global projects and teams
  • Community involvement with local charity and sustainability initiatives like the TUI Care Foundation
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