Remote Data Engineer: Python, SQL & Snowflake

Travel Chapter; Northam; On-site; GBP 36,000 - 44,000; Full time

Job summary

Travel Chapter is seeking an experienced Data Engineer to join our growing Data Team. This role is remote (UK based) with a starting salary of £40,000 and scope to increase based on experience.

You'll design, build and operate data solutions, move data into our data warehouse, and collaborate with Technology, Product and Delivery teams to deliver high-quality data products across the business.

Qualifications

• At least 3 years' commercial experience in Data Engineering.
• Strong Python and SQL coding, with performance focus.
• Experience with data warehouses (Snowflake preferred).
• Experience with MySQL and MS SQL Server 2019.
• Understanding of data transformation and testing strategies.
• Experience working in Agile environments.
• Excellent written and verbal communication.

Responsibilities

• Move and transform data into our data warehouse from multiple sources.
• Design, build and maintain large-scale data solutions and pipelines.
• Write and maintain Python and SQL with focus on performance and reliability.
• Work with Snowflake, MySQL and MS SQL Server 2019 to optimise data solutions.
• Collaborate with Delivery and Product teams to provide progress updates.
• Improve development tools, processes, and overall tech stack.
• Participate in code reviews to maintain high standards.
• Test data solutions and apply appropriate testing strategies.
• Troubleshoot production issues and implement preventive measures.
• Provide out-of-hours support when required per SLAs.

Skills

Python

SQL

Snowflake

MySQL

MS SQL Server 2019

Data Warehousing

ELT tools

Agile methodologies

Communication

Git

Fivetran

Kleene

dbt

Tools

Git

Fivetran

Kleene

dbt

Job description

Travel Chapter is seeking an experienced Data Engineer to join our growing Data Team. This role is remote (UK based) with a starting salary of £40,000 and scope to increase based on experience.

You'll design, build and operate data solutions, move data into our data warehouse, and collaborate with Technology, Product and Delivery teams to deliver high-quality data products across the business.