Senior Data Engineer

Senior Data Engineer

Location: Hybrid (UK-based)
Team: Product Engineering
Contract: Permanent

Salary: Starting salary £50,000 with scope to increase based on experience and suitability

Travel Chapter is a data-led business, and the work our teams do behind the scenes directly shapes the experience of our guests, property owners and colleagues.

We’re looking for a Senior Data Engineer to join our Product Engineering team and play a key role in designing, building and evolving Travel Chapter’s data platform and warehouse.

You’ll build robust, scalable and maintainable data solutions, transforming data from across the organisation into trusted, well-modelled datasets that support analytics, reporting, operational processes and data-driven products.

This is a great opportunity for an experienced data engineer who enjoys taking ownership, solving complex problems and helping shape how data is used across a growing organisation.

Working closely with Data, Product Engineering and stakeholders across the business, you’ll help define engineering standards, improve the reliability and quality of our data, and support the development of other engineers through coaching and knowledge sharing.

As a Senior Data Engineer, you’ll be responsible for designing, building and maintaining data pipelines, ETL processes and data models that bring together diverse data sources into a reliable and unified data platform.

You’ll contribute to architectural and data‑modelling decisions, champion good engineering practices and help ensure our data solutions are scalable, maintainable and fit for purpose.

You’ll work closely with product managers, developers, data colleagues and stakeholders across the business to understand requirements and how data is used, turning these needs into effective technical solutions.

You’ll also have the opportunity to influence how we work as a team — from improving engineering standards and tackling technical debt to mentoring colleagues and continuously improving our data platform.

• Making and documenting architectural and data‑modelling decisions
• Developing and maintaining data pipelines and ETL processes to integrate and transform diverse data sources
• Designing and implementing data models and database schemas for large volumes of structured and unstructured data
• Building robust, scalable and maintainable data solutions that support analytics, reporting, operational processes and data‑driven products
• Championing engineering standards across SQL, Python, testing, documentation and code review
• Reviewing designs and code produced by other engineers
• Identifying and addressing technical debt and opportunities to improve the data platform
• Optimising data solutions using techniques such as partitioning, indexing and caching
• Developing and maintaining data quality processes to ensure data is accurate, complete and consistent
• Improving the reliability, observability and performance of data solutions
• Working collaboratively with product managers, developers and stakeholders to define data requirements and understand how data is used
• Diagnosing and resolving performance and production issues, putting measures in place to prevent recurrence where possible
• Coaching and mentoring engineers and helping to raise engineering capability across the team
• Keeping up to date with developments in data engineering and evaluating new technologies and practices where they could benefit the organisation
• Participating in the team’s out-of-hours support rota where required, in accordance with agreed support arrangements and SLAs

• Strong commercial data engineering experience, ideally in a senior or lead capacity
• Significant experience delivering production data engineering solutions
• Advanced SQL and an excellent understanding of databases
• Strong Python skills for data engineering
• Strong understanding of data warehousing and dimensional/data modelling
• Experience designing and operating production data pipelines
• Experience with a modern cloud data warehouse such as Snowflake
  , Big Query or Redshift
• Experience with automated testing, version control and CI/CD
• Strong…