Application Closing Date: 22 June 2026
Please note that in case of a high number of applications we might need to close the role ealier than the application closing date - so don't delay!
We're looking for an experienced Senior Data Engineer to lead the design, development, and maintenance of data engineering solutions for our digital analytics platforms. You'll build robust data pipelines, and drive technical excellence as we work towards becoming the leader in technology within the travel industry.
ABOUT OUR OFFER
1. Personal benefits: Attractive remuneration, discretionary bonus schemes, generous travel benefits, extensive health & well-being support, and more.
2. Flexible working: Work is something you do, not somewhere you go. We encourage a healthy work-life balance with a dynamic working environment.
3. A career to shape: Access the TUI Learning Hub to level-up and reach your ambitions.
4. Broaden your network: We champion intercultural collaboration and provide opportunities to work on global projects and teams.
5. Community: Get involved with incredible local charity and sustainability initiatives like the TUI Care Foundation.
ABOUT THE JOB
6. You'll lead the design and implementation of data pipelines and integration processes for customer and marketing data from digital sales channels, designing scalable ETL processes for analytics data, developing data integration solutions between various platforms, and implementing data transformation and enrichment processes.
7. 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.
8. Collaborating with the Architect to implement technical designs means you'll translate architectural designs into implementation plans, provide feedback on technical feasibility of proposed solutions, and ensure implementations adhere to architectural standards.
9. 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.
10. 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
11. You have a Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent professional experience in data engineering or software development, and a Master's degree in Computer Science, Data Science, or related field would be beneficial.
12. Proven experience in data engineering and leading technical teams demonstrates your ability to guide engineers and deliver impactful solutions.
13. You have strong data engineering skills including SQL and Python, with experience managing codebases, CI/CD pipelines, and code reviews.
14. You have knowledge of cloud-based data systems such as Google Cloud Platform and cloud storage solutions like Snowflake/AWS.
15. You have deep understanding of data pipeline design, ETL processes, and data integration tools, combined with expertise in relational and NoSQL databases, that ensures you can build robust solutions processing millions of customer interactions daily.
16. Your knowledge of data quality assurance methodologies, along with excellent problem-solving, analytical, communication, and leadership skills, means you can deliver reliable analytics data and translate business needs into technical solutions.
17. Professional certifications in cloud platforms, knowledge of web and mobile analytics technologies, experience with big data technologies such as Hadoop or Spark, understanding of data modeling and data warehouse concepts, containerization tools like Docker or Kubernetes, data privacy regulations including GDPR and CCPA, and agile methodologies would be beneficial.
18. Experience in travel or e-commerce industries would be advantageous.
From a workplace to a place to belong. At TUI we embrace diversity, equity, and inclusion, encouraging everyone to come as you are, because together, our potential is limitless.
We are committed to supporting candidates with disabilities and impairments so if you require any support, please do let us know.