At a Glance
- Tasks: Design and develop reliable data pipelines for a global travel brand.
- Company: Join a century-old company transforming travel experiences worldwide.
- Benefits: Enjoy a hybrid work model, competitive salary, and career growth opportunities.
- Other info: Collaborative environment with a focus on innovation and quality.
- Why this job: Make a real impact by building modern data foundations for millions of travellers.
- Qualifications: Experience in data engineering, SQL, Python, and cloud platforms like Snowflake.
The predicted salary is between 63000 - 77000 £ per year.
Hybrid, 3 days per week in the office
Contract Type: Permanent
Working Hours: Monday to Friday
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.
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. 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. 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. 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.
- 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.
- 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.
- 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.
Ingegnere dei dati (f/m) in London 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.
