Senior Data Engineer

The Travel Corporation; Greater London; Hybrid; GBP 80,000 - 120,000; Full time

Job summary

The Travel Corporation (TTC) in London is seeking a Senior Data Engineer to design and deliver data products that power analytics, data science, AI and commercial decision‑making across a global business. You’ll work in a modern Snowflake ecosystem, partnering with engineers, analysts, data scientists, Product and Architecture to solve complex problems and create trusted data.

With the platform evolving, you’ll help shape standards, patterns and architecture, mentor others, and stay hands‑on

Qualifications

• Substantial data engineering experience in production-scale environments.
• Deep, hands-on expertise in SQL and Python.
• Strong Snowflake experience, or equivalent depth in another modern cloud data platform.
• 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.

Responsibilities

• 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.

Skills

SQL

Python

Snowflake

ELT pipelines

ETL pipelines

dbt

CI/CD

Git

Orchestration frameworks

Data quality

Observability

Leadership

Tools

dbt

Git

Job description

Senior Data Engineer

Vacancy Information

• 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

Five shared commitments shape how we work, and how we will work with you:

• 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.