Senior Data Engineer: Build Scalable Pipelines & Data Platform

Travel Chapter; Devon and Torbay; On-site; GBP 85,000 - 110,000; Full time

Job summary

Travel Chapter is seeking a Senior Data Engineer to define engineering standards, improve data reliability and mentor teammates.

You will design, build and maintain data pipelines, ETL processes and data models that integrate diverse sources into a unified platform, while collaborating with product and data teams to unlock insights.

We value pragmatic, quality-driven engineers who communicate clearly, tackle technical debt and continuously improve the data platform across the business.

Qualifications

• Strong commercial data engineering experience in senior or lead roles.
• Advanced SQL and database design understanding.
• Proficiency in Python for data engineering tasks.
• Experience with data warehousing and dimensional data modelling.

Responsibilities

• Design and maintain data pipelines and ETL processes to integrate diverse data sources.
• Develop data models and database schemas for large volumes of structured and unstructured data.
• Champion engineering standards across SQL, Python, testing, documentation and code review.
• Review designs and code produced by other engineers.
• Identify and address technical debt and opportunities to improve the data platform.
• Optimise data solutions through partitioning, indexing and caching.
• Develop and maintain data quality, observability and performance.

Skills

SQL

Python

Data warehousing

ETL pipelines

Data modelling

CI/CD

Cloud platforms

Snowflake

BigQuery

Redshift

Code review

Mentoring

Observability

Tools

Snowflake

BigQuery

Redshift

dbt

AWS Glue

Job description

Travel Chapter is seeking a Senior Data Engineer to define engineering standards, improve data reliability and mentor teammates.

You will design, build and maintain data pipelines, ETL processes and data models that integrate diverse sources into a unified platform, while collaborating with product and data teams to unlock insights.

We value pragmatic, quality-driven engineers who communicate clearly, tackle technical debt and continuously improve the data platform across the business.