At a Glance
- Tasks: Build and maintain scalable data pipelines for analytics and AI in a modern ecosystem.
- Company: Join TTC, a leading travel company enriching lives through unforgettable journeys.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Collaborative environment with strong mentorship and career development opportunities.
- Why this job: Make a real impact by transforming data into trusted insights for global travel brands.
- Qualifications: Experience in data engineering, SQL, Python, and cloud platforms like Snowflake.
The predicted salary is between 63000 - 77000 £ 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.
Behind every unforgettable journey is a passionate team making it happen. That’s where you come in.
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
This is a chance to help build the modern data foundations behind TTC's growing Data and AI capability. You will design and develop reliable pipelines and trusted data products across customer, booking, digital, marketing, commercial and operational data, enabling analytics, data science and better decisions across our global portfolio of travel brands.
You will work in a modern Snowflake-based ecosystem alongside senior engineers, data scientists, analysts and data product colleagues, turning complex data into accessible, reusable, high-quality assets. The platform is being actively developed and scaled, so you will learn quickly, see your work used and grow alongside strong engineers who are happy to share what they know. If you care about doing things properly and want room to develop, you will do well here.
What Will You Do?
- Build and maintain scalable, production-grade pipelines across customer, booking, digital, commercial and operational domains.
- Turn raw data into trusted, reusable and well-modelled products for Analytics, Data Science and AI.
- Develop solutions in Snowflake, SQL, Python and modern transformation tooling such as dbt.
- Build analytical models that give consistent views of customers, bookings, products and key entities.
- Implement automated testing, data quality controls, monitoring and observability across critical datasets.
- Apply modern engineering practice including Git, code review, automated testing and CI/CD.
- Monitor and optimise workloads for performance, scalability, resilience and cost.
- Work with senior engineers to apply reusable patterns and technical standards.
- Partner with Data Science, Insight and Data Product colleagues to translate needs into solid technical solutions.
- Investigate data quality and pipeline issues, find root causes and fix them properly.
About You
Essential
- Strong professional experience in data engineering or analytics engineering.
- Strong hands-on capability with SQL and Python.
- Experience with Snowflake or another modern cloud data platform.
- Experience designing and developing ELT and ETL pipelines in production.
- A good understanding of analytical and dimensional data modelling.
- Experience with dbt or comparable modern transformation tooling.
- Familiarity with Git, CI/CD, automated testing and data quality practice.
- A collaborative mindset and a genuine interest in building things well.
Desirable
- Experience with orchestration tools such as Airflow, Dagster, Prefect or Azure Data Factory.
- Experience working within AWS, Azure, GCP or another enterprise cloud ecosystem.
- Experience with complex customer, transactional, digital or behavioural data.
- Exposure to data security, governance, lineage and documentation practice.
- Curiosity about travel, hospitality or global consumer businesses.
If you want to build data foundations that thousands of colleagues and millions of travellers rely on, we would like to hear from you. Apply today, and tell us what you would want to build first.
Data Engineer in Slough 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.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Slough
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like The Travel Corporation!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer at The Travel Corporation.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like The Travel Corporation.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at The Travel Corporation, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer in Slough
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 The Travel Corporation, 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 The Travel Corporation. 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 The Travel Corporation
✨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!
✨Showcase Your Projects
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 The Travel Corporation!
✨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.
