Senior Digital Data Engineering Manager

Application Closing Date: 26 June 2026

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.

About our offer

• Attractive remuneration, discretionary bonus schemes, generous travel benefits, extensive health and well-being support, and more.
• Flexible working: work is something you do, not somewhere you go. We encourage a healthy work-life balance with a dynamic working environment.
• Access the TUI Learning Hub to level-up and reach your ambitions.
• Opportunities to work on global projects and teams through intercultural collaboration.
• Get involved with incredible local charity and sustainability initiatives like the TUI Care Foundation.

About the job

• You will lead a team of data engineers to deliver against the roadmap and work closely with the digital analytics team and senior stakeholders across the business to help shape the roadmap and strategy for digital data engineering within TUI.
• You will manage the team, lead team meetings, manage the workload via JIRA, conduct one-to-ones, foster a strong team dynamic, and help mentor the engineers.
• You'll lead the design and implementation of data pipelines and integration processes for customer and marketing data from digital sales channels, design scalable ETL processes for analytics data, develop data integration solutions between various platforms, and implement data transformation and enrichment processes.
• You will have strong data engineering skills, including SQL and Python, with experience in managing codebases, CI/CD pipelines, and code reviews.
• You would have knowledge of cloud-based data systems, such as Google Cloud Platform, and cloud-based storage such as Snowflake/AWS.
• Establishing and maintaining data quality frameworks ensures the accuracy, completeness, and reliability of analytics data, as you develop automated data quality checks and validation processes, implement monitoring systems for data pipeline health, and create documentation and standards for data quality assurance.
• Working with cross-functional teams to understand data requirements enables you to deliver solutions that meet business needs, gathering requirements from analytics and business teams, translating business needs into technical specifications, and providing technical consultation on data engineering capabilities.
• You'll drive innovation in data engineering practices by researching emerging technologies, conducting proof-of-concept implementations, developing roadmaps for technology adoption and migration, ensuring compliance with data privacy regulations and security requirements, and overseeing the development of technical documentation for data engineering solutions.

About you

• Your 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, allows you to develop efficient and scalable data solutions.
• Experience with cloud platforms such as AWS, Azure, or GCP and their data services, combined with knowledge of data quality assurance methodologies and tools, ensures you can deliver reliable analytics data for business decision making.
• You bring experience with data visualization tools such as Tableau or Power BI, combined with understanding of A/B testing and experimentation methodologies and knowledge of digital customer journeys and touchpoints.
• You possess proven success developing analytics strategies and measurement frameworks, with the ability to bridge technical and business perspectives and translate analytics into business value.
• You have a bachelor’s degree in Business, Marketing, Computer Science, or related field with proven experience in digital analytics, business intelligence, or related roles at a senior level.
• You demonstrate outstanding communication and presentation skills with the ability to influence stakeholders and manage relationships effectively across multiple business units and markets.
• You're comfortable working with agile development methodologies and have a solid understanding of data privacy regulations including GDPR and CCPA.
• A Master's degree in Business, Analytics, or related field, professional certifications in relevant analytics platforms, experience in the travel or e-commerce industry, and understanding of machine learning and AI applications in analytics would be advantageous.