Data Engineer - Snowflake Pipelines & Data Products(Hybrid)

The Travel Corporation; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

The Travel Corporation is seeking a data/analytics engineer to design and build scalable data pipelines across customer, bookings, digital, and operational data. You will transform raw data into trusted products used by Analytics, Data Science and AI teams.

Join a Snowflake-based environment with senior engineers and data product colleagues. You’ll shape data foundations, implement quality controls and adopt modern tooling to support global travel brands.

Qualifications

• 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.
• 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.
• 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.

Responsibilities

• 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.

Skills

SQL

Python

Snowflake

ELT/ETL

Data modelling

Git

CI/CD

Airflow

Dagster

Prefect

Tools

dbt

Azure Data Factory

Cloud platforms (AWS/Azure/GCP)

Job description

The Travel Corporation is seeking a data/analytics engineer to design and build scalable data pipelines across customer, bookings, digital, and operational data. You will transform raw data into trusted products used by Analytics, Data Science and AI teams.

Join a Snowflake-based environment with senior engineers and data product colleagues. You’ll shape data foundations, implement quality controls and adopt modern tooling to support global travel brands.