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Data Engineer
Travel Chapter. Move and transform data from business sources into the data warehouse .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Data Engineering with a strong focus on Python and SQL for developing and optimizing data solutions. Proficient in data transformation, data warehousing, and collaboration within Agile environments.
Highest-signal resume keywords
Data EngineeringPython ProgrammingSQL ProficiencySnowflake ExperienceAgile Methodologies
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data TransformationData Pipeline DevelopmentDatabase ManagementPerformance OptimizationTesting Strategies
Soft Skills
Effective CommunicationCollaboration
Tools & Technologies
ELT ToolsFivetranKleeneDbtMySQLMS SQL Server 2019Git
Industry Keywords
Data WarehouseTravel IndustryFinancial Data
Tech Stack
Tools & technologiesMS SQL ServerMySQLPythonSQL
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- Fully remote work
- Starting salary of £40,000 with scope to increase based on experience and suitability