At a Glance
- Tasks: Design and deliver data products that power analytics and AI across a global business.
- Company: Join TTC, a leader in crafting unforgettable travel experiences for over 100 years.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and mentorship.
- Why this job: Shape the future of data engineering while making a real impact on global travel.
- Qualifications: Experience in data engineering, SQL, Python, and modern cloud platforms like Snowflake.
The predicted salary is between 56700 - 69300 £ per year.
Location: London, UK
Salary: Competitive
Working Pattern: Hybrid, 3 days per week in the office
Contract Type: Permanent
Working Hours: Monday to Friday
At TTC, we are enriching lives by connecting people and places. For over 100 years, we’ve been bringing the world closer together by crafting journeys that create lasting memories, lifelong friendships and meaningful cultural connections. Across more than 70 countries and our award-winning brands, we design and deliver travel experiences that go beyond sightseeing - they change perspectives.
Our Values:
- Value Every Voice. We put people first.
- Act with Integrity. We do what is right.
- Explore Beyond Boundaries. We are driven by curiosity.
- Own the Outcome. We take responsibility for our decisions.
- Succeed Together. We have each other's backs.
The Role:
We’re building TTC’s Data & AI capability, and this role sits at the heart of it. You’ll design and deliver data products that power analytics, data science, AI and commercial decision-making across a global business, using customer, booking, digital, marketing, commercial and operational data. Working in a modern Snowflake ecosystem, you’ll partner with engineers, analysts, data scientists, Product and Architecture to solve complex business problems and create trusted, reusable data. With the platform still evolving, you’ll help shape standards, patterns and architecture, mentor others, and influence how the team works—while remaining hands-on with the technology from day one onward globally.
What Will You Do?
- Build scalable, production-grade pipelines and reusable data products that teams across the business genuinely rely on.
- Model our most important customer and commercial entities so the business works from one trusted version of the truth.
- Engineer solutions in Snowflake, SQL, Python and modern transformation tooling such as dbt.
- Raise the bar on testing, data quality, observability, version control and CI/CD, and make good practice the default.
- Tune workloads for performance, resilience, scalability and sensible cloud cost.
- Lead technically through design reviews, code reviews and hands-on mentoring.
- Partner with Data Science, Analytics, Product and Architecture to unlock advanced analytics and AI use cases.
- Define the reusable engineering patterns that lift the technical maturity of the whole platform.
About You:
Essential:
- Substantial data engineering experience in a sophisticated, production-scale environment.
- Deep, hands-on expertise in SQL and Python.
- Strong Snowflake experience, or equivalent depth in another modern cloud data platform.
- A proven track record designing ELT and ETL pipelines and analytical data models.
- Practical experience with dbt, orchestration frameworks, Git and CI/CD.
- A genuine commitment to data quality, testing and observability.
- Sound engineering judgement, knowing when to build for the long term and when to ship.
- The credibility to lead technically, influence design decisions and lift standards around you.
Desirable:
- Experience with complex customer, transactional or behavioural datasets.
- Experience in an agile, product-led delivery environment.
- Exposure to data products that support data science or AI use cases.
- A track record of mentoring engineers or shaping engineering standards.
- Curiosity about travel, hospitality or global consumer businesses.
Apply Now:
If you want to build the data foundations behind how millions of people see the world, we would like to hear from you. Apply today, and tell us what you would want to build first.
Senior Data Engineer employer: The Travel Corporation
The Travel Corporation is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of London. With a strong emphasis on employee growth, you will have access to ongoing training and development opportunities while enjoying the flexibility of a hybrid work environment. Join us to be part of a team that values your contributions and supports your professional journey in enhancing our financial systems.
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We think this is how you could land Senior Data Engineer
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We think you need these skills to ace Senior Data Engineer
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!
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✨Brush Up on Your Statistics
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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
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✨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.
