Senior Data & AI Engineer – AI-First Data Platforms

Luxoft; Greater London; Sur place; GBP 90 000 - 130 000; Plein temps

Résumé du poste

Luxoft is seeking an experienced data engineering leader to design, build, and optimize data pipelines and integration frameworks supporting AI, analytics, and business applications. The role emphasizes data quality, lineage, and monitoring, with an AI-first approach and collaboration with stakeholders across product and engineering teams.

You will work on scalable backend services and large-scale data processing architectures, leveraging modern data platforms and cloud-native tools in an agile

Qualifications

• 10+ years in professional software development, incl. 5+ years data engineering
• Advanced Python skills for scalable backend services and data processing
• Experience designing data pipelines, data integration, and large-scale data architectures
• Relational databases and modern storage including graph/vector/analytical platforms
• Production experience with AI/LLM-enabled applications
• Familiarity with LangGraph, LangChain, agents, or orchestration frameworks
• Knowledge of modern AI tooling and AI-assisted software engineering
• Experience operating in agile delivery environments
• Strong communication with diverse stakeholder groups

Responsabilités

• Design, build, and enhance data pipelines and integration frameworks for AI, analytics, and business apps
• Improve data quality, reliability, lineage, and monitoring
• Implement AI-first approach using AI agents for design, build, test, and support
• Collaborate with business stakeholders, product managers, and engineering teams to translate objectives into technical solutions

Connaissances

10+ years dev

5+ years data eng

Python backend

Data pipelines

Relational databases

AI/LLM production

LangGraph LangChain

AI tooling workflows

Agile delivery

Stakeholder comms

Outils

Databricks

Spark

Delta Lake

AWS

Description du poste

Luxoft is seeking an experienced data engineering leader to design, build, and optimize data pipelines and integration frameworks supporting AI, analytics, and business applications. The role emphasizes data quality, lineage, and monitoring, with an AI-first approach and collaboration with stakeholders across product and engineering teams.

You will work on scalable backend services and large-scale data processing architectures, leveraging modern data platforms and cloud-native tools in an agile