Infoplus Technologies UK Limited

Full Stack Python Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Full Stack Python Data Engineer on a hybrid contract in London, offering a pay rate of "unknown." Requires 5+ years in data integration, proficiency in JavaScript, React, and Python, and experience in financial markets.
🌎 - Country
United Kingdom
πŸ’± - Currency
Β£ GBP
-
πŸ’° - Day rate
Unknown
-
πŸ—“οΈ - Date
June 11, 2026
πŸ•’ - Duration
Unknown
-
🏝️ - Location
Hybrid
-
πŸ“„ - Contract
Unknown
-
πŸ”’ - Security
Unknown
-
πŸ“ - Location detailed
London Area, United Kingdom
-
🧠 - Skills detailed
#Data Engineering #TypeScript #Migration #AI (Artificial Intelligence) #Data Warehouse #React #Python #Data Integration #Agile #Code Reviews #ML (Machine Learning) #Docker #JavaScript #Databases #Kubernetes #Kafka (Apache Kafka)
Role description
Full Stack Engineer - Data London - Hybrid Contract Responsibilities include β€’ Full-stack development with lots of freedom in terms of architecture and design β€’ Application of machine learning and AI where appropriate β€’ Interaction and cooperation with established development teams on target systems, as well as stakeholders and users β€’ Focus on quality and shipping working code to users in the most efficient timeframe on a continuous development basis β€’ Collaborate on code reviews and best practice within a small, agile, focused team We’re looking for β€’ An product-focused mindset: The candidate understands what they are building and why β€’ An ability to work proactively with minimal supervision β€’ 5+ years of experience in a technical data integration, migration role or development role β€’ Familiarity with JavaScript, Typescript, React and Python. β€’ Relevant degree in a numeric discipline, or equivalent work experience β€’ Experience of financial markets and the trade lifecycle strongly beneficial β€’ A willingness to get involved in the detail and to get the job done β€’ Excellent written and spoken English Beneficial β€’ Experience with ETLs and Data warehouse β€’ Exposure to Kubernetes and Docker β€’ Experience of databases and distributed systems (e.g. Kafka or similar message streaming technology, Service-driven architecture, data consistency)