Data Engineer

🕒 September 17

🇬🇧 United Kingdom – Remote

💵 £40k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

🇬🇧 UK Skilled Worker Visa Sponsor

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Logo of Travel Chapter

Travel Chapter

501 - 1000 employees

Founded 1989

🏨 Hospitality

📦 Logistics

✈️ Travel

💰 Private Equity Round - Travel Chapter on 2019-01

Hospitality • Logistics • Travel

Travel Chapter is a company that appears to operate in the travel and short-term rental space, offering property management and related services such as property managers and self-employed cleaners, while also developing digital products (app, data tools) to support its operations. The company's careers site lists roles across product engineering, data, and operations, indicating it runs both consumer-facing property/holiday services and an internal technology platform to manage bookings and operations. The site emphasizes candidate and employee portals, inviting applicants to connect for open roles.

📋 Description

• Move and transform data from business sources into the data warehouse • Design, build and maintain large-scale data solutions and data pipelines using ELT tools and the technology stack • Write and maintain high-quality Python and SQL focused on performance, reliability and maintainability • Develop and optimise data solutions using Snowflake, MySQL and MS SQL Server 2019 • Collaborate with Delivery and Product teams, provide progress updates and ensure timely project delivery • Work with Senior Developers to improve development tools, processes, technology stack, application performance and stability • Participate in and support code reviews • Test data solutions and apply appropriate testing strategies • Troubleshoot production issues through resolution and identify preventative measures • Provide out-of-hours support when required in line with organisational SLAs

🎯 Requirements

• At least 3 years' commercial experience in Data Engineering • Strong commercial experience with Python and ability to write clean, maintainable and effective code • Strong SQL skills and excellent understanding of databases, data structures and data manipulation • Commercial experience working with data warehouses, ideally including Snowflake • Experience with MySQL and MS SQL Server 2019 • Good understanding of data engineering principles and data transformation • Understanding of testing strategies and writing robust, reliable data solutions • Experience working within Agile methodologies • Excellent written and verbal communication skills, with ability to work effectively with technical and non-technical colleagues • Experience with ELT tools such as Fivetran, Kleene or dbt (desirable) • Experience using source code management tools, ideally Git (desirable) • Previous experience working within the travel industry (desirable) • Financial or finance-related data experience (desirable)

🏖️ Benefits

• Fully remote work • Starting salary of £40,000 with scope to increase based on experience and suitability

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