At a Glance
- Tasks: Lead the design and development of data engineering solutions for digital analytics platforms.
- Company: Join TUI, a leader in travel technology with a focus on innovation.
- Benefits: Attractive salary, bonuses, travel perks, health support, and flexible working.
- Other info: Diverse and inclusive workplace with opportunities for community involvement and career growth.
- Why this job: Shape the future of travel tech while driving innovation in data engineering.
- Qualifications: Bachelor's degree in IT or related field; strong skills in SQL, Python, and cloud systems.
The predicted salary is between 60000 - 80000 £ per year.
Application Closing Date: 22 June 2026. Please note that in case of a high number of applications we might need to close the role earlier 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
- Personal benefits: Attractive remuneration, discretionary bonus schemes, generous travel benefits, extensive health & 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.
- A career to shape: Access the TUI Learning Hub to level-up and reach your ambitions.
- Broaden your network: We champion intercultural collaboration and provide opportunities to work on global projects and teams.
- Community: Get involved with incredible local charity and sustainability initiatives like the TUI Care Foundation.
ABOUT THE JOB
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. 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.
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. 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
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. Proven experience in data engineering and leading technical teams demonstrates your ability to guide engineers and deliver impactful solutions.
You have strong data engineering skills including SQL and Python, with experience managing codebases, CI/CD pipelines, and code reviews. You have knowledge of cloud‑based data systems such as Google Cloud Platform and cloud storage solutions like Snowflake/AWS. 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.
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. 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. 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.
Senior Data Engineer in Luton employer: TUI Cruises GmbH
At TUI, we pride ourselves on being an exceptional employer, offering a dynamic work environment that champions flexibility and work-life balance. Our commitment to employee growth is evident through access to the TUI Learning Hub, while our generous benefits package, including attractive remuneration and travel perks, ensures that our team feels valued and supported. Join us in shaping the future of travel technology, where your contributions will make a meaningful impact within a diverse and inclusive community.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Luton
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Senior Data Engineer in Luton
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at TUI Cruises GmbH, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at TUI Cruises GmbH. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at TUI Cruises GmbH
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at TUI Cruises GmbH!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.