Senior Data & AI Engineer: AI-First Data Platforms

Luxoft; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Luxoft is seeking an experienced data engineer in London to design and operate scalable data pipelines and AI-enabled solutions. You will work across AI, analytics, and business applications, improving data quality, lineage, and monitoring while collaborating with stakeholders to translate objectives into technical outcomes.

The role requires a strong background in data processing architectures, modern data platforms, and an AI-first mindset, with substantial experience in cloud-native

Qualifications

• 10+ years of professional software development including 5+ years in data engineering.
• Advanced Python skills for scalable backend services and data processing.
• Proven ability to design and implement data pipelines and large-scale architectures.
• Experience with relational databases and modern data storage platforms.
• Hands-on production experience with AI/LLM-enabled applications.
• Familiarity with LangGraph, LangChain, and AI orchestration tools.
• Experience in agile delivery and effective stakeholder collaboration.

Responsibilities

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

Skills

Data engineering

Python

Data pipelines

SQL

AI/LLM workflows

Distributed systems

Agile methodologies

Stakeholder communication

Relational databases

Cloud platforms (AWS)

LangGraph

LangChain

Data quality & monitoring

Tools

Databricks

Spark

Delta Lake

AWS

ECS Fargate / Lambda

Terraform / IaC

Job description

Luxoft is seeking an experienced data engineer in London to design and operate scalable data pipelines and AI-enabled solutions. You will work across AI, analytics, and business applications, improving data quality, lineage, and monitoring while collaborating with stakeholders to translate objectives into technical outcomes.

The role requires a strong background in data processing architectures, modern data platforms, and an AI-first mindset, with substantial experience in cloud-native