Insight International (UK) Ltd
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with expertise in Python, SQL, and ETL frameworks, requiring cloud experience (AWS preferred) and familiarity with airline or logistics data. Contract length and pay rate are unspecified; initial London co-location is essential.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
February 13, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Waterside, England, United Kingdom
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🧠 - Skills detailed
#Scala #Cloud #API (Application Programming Interface) #Data Modeling #AWS (Amazon Web Services) #Data Engineering #Python #Deployment #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language)
Role description
Required Skills & Experience
· Expertise in Python, SQL, and modern ETL frameworks.
· Hands-on experience with cloud platforms (AWS preferred).
· Strong knowledge of data modeling and API integration.
· Proven experience in developing, testing, and deploying data solutions into production environments, ensuring reliability, scalability, and maintainability beyond proof-of-concept or prototype stages.
· Familiarity with airline or logistics data domains is a plus.
· Significant experience in similar roles, with a proven ability to integrate quickly into new teams and deliver immediate value.
· Initial co-location with Client teams in London is essential to ensure close collaboration. Candidates must also be prepared to travel internationally during later stages to facilitate group-wide deployment.
Required Skills & Experience
· Expertise in Python, SQL, and modern ETL frameworks.
· Hands-on experience with cloud platforms (AWS preferred).
· Strong knowledge of data modeling and API integration.
· Proven experience in developing, testing, and deploying data solutions into production environments, ensuring reliability, scalability, and maintainability beyond proof-of-concept or prototype stages.
· Familiarity with airline or logistics data domains is a plus.
· Significant experience in similar roles, with a proven ability to integrate quickly into new teams and deliver immediate value.
· Initial co-location with Client teams in London is essential to ensure close collaboration. Candidates must also be prepared to travel internationally during later stages to facilitate group-wide deployment.
